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United Kingdom
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Freelance Data Scientist I Biomarker Discovery and Statistical Bioinformatics | Expert in R
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing,
Copywriting
Research
Market Research,
Gap Analysis,
Systematic Literature Review
Consulting
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Data Visualization,
Big Data Analytics,
Data Processing,
Data Insights
Work Experience
The University of Birmingham
- Present
Assistant Professor
University of Birmingham
September 2022 - Present
Senior Research Fellow
University of Birmingham
September 2017 - August 2022
Investigator Scientist
University of Cambridge
February 2014 - January 2017
Systems Biologist
BASF-Crop Design
February 2012 - February 2014
Systems Biologist
BASF - Crop Design, Gent, Belgium
February 2012 - February 2014
Biostatistician
Synergie Lyon Cancer, Lyon, France
June 2011 - February 2012
Biostatistician
Fondation Synergie Lyon Cancer
May 2011 - February 2012
Education
Entrepreneurship (Business School )
UNIVERSITY OF CAMBRIDGE
July 2015 - July 2015
PhD
Wageningen University
July 2007 - June 2011
PGD-Bioinformatics (Bioinformatics)
Institute of Bioinformatics and Applied Biotechnology
October 2004 - March 2006
Bachelor of Technology (BTech) (Electrical Engineering )
North Eastern Regional Institute of Science and Technology
February 2000 - February 2004
Certifications
- Certification details not provided.
Publications
OTHER
Animesh Acharjee, Dipak Kotecha, George Gkoutos, Andreas Karwath (2022). Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare .
Animesh Acharjee, Joseph Larkman, Victor Roth Cardoso, Georgios V. Gkoutos(2020). Effect of biomarker identification on power analysis for diagnostics research . Research Square
Animesh Acharjee, Joseph Larkman, Victor Roth Cardoso, Georgios V. Gkoutos(2020). PowerTools: A web based user-friendly tool for future translational study design . Research Square
Sedlackova L, Otten EG, Scialo F, Shapira D, Kataura T, Carroll B, Seranova E, Rabanal-Ruiz Y, Kelly G, Stefanatos R, et al.(2020). Autophagy promotes cell and organismal survival by maintaining NAD(H) pools .
Pal N, Acharjee A, Ament Z, Dent T, Yavari A, Mahmod M, Ariga R, West J, Steeples V, Cassar M, et al.(2019). Metabolic Profiling of Aortic Stenosis and Hypertrophic Cardiomyopathy Identifies Mechanistic Contrasts in Substrate Utilisation .
Liu K, Acharjee A, Hinz C, Liggi S, Murgia A, Denes J, Gulston MK, Wang X, Chu Y, West JA, et al.(2019). The consequences of lipid remodelling of adipocyte cell membranes being functionally distinct from global lipid storage during obesity .
Animesh Acharjee, Argyris Zardilis, João Dias, James Smith(2014). Extensible and Executable Stochastic Models of Fatty Acid and Lipid Metabolism . Computational Methods in Systems Biology. p. 244--247. Springer International Publishing
Animesh Acharjee, Argyris Zardilis, João Dias, James Smith(2014). Extensible and Executable Stochastic Models of Fatty Acid and Lipid Metabolism . Computational Methods in Systems Biology. p. 244--247. Springer International Publishing
JOURNAL ARTICLE
Role of microbiota and microbiota‐derived short‐chain fatty acids in PDAC <head>
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</head> . Cancer Medicine.
Animesh Acharjee, Khaled Altarrah, Poh Tan, Jon Hazeldine, Barbara Torlinska, Yvonne Wilson, Tomasz Torlinski, Naiem Moiemen, Janet M Lord (2022). Differential benefits of steroid therapies in adults following major burn injury . Journal of Plastic, Reconstructive & Aesthetic Surgery.
Animesh Acharjee, Basak Bahcivanci, Roshan Shafiha, Georgios V. Gkoutos (2022). Associating transcriptomics data with inflammatory markers to understand tumour microenvironment in hepatocellular carcinoma . Cancer Medicine.
Animesh Acharjee, Hannah J. Irvine, Zoe Wolcott, Zsuzsanna Ament, H.E. Hinson, Bradley J. Molyneaux, J. Marc Simard, Kevin N. Sheth, W. Taylor Kimberly (2022). Hypoxanthine is a pharmacodynamic marker of ischemic brain edema modified by glibenclamide . Cell Reports Medicine.
Animesh Acharjee, Pedro Mena, Claudia Favari, Saisakul Chernbumroong, Letizia Bresciani, Claudio Curti, Furio Brighenti, Christian Heiss, Ana Rodriguez-Mateos, Daniele Del Rio(2022). Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches . European Journal of Nutrition. 61. (3). p. 1299--1317. Springer Science and Business Media {LLC}
Animesh Acharjee, Yuanwei Xu, Katrina Nash, Georgios V Gkoutos, Jonathan Wren(2022). CACONET: a novel classification framework for microbial correlation networks . Bioinformatics. 38. (6). p. 1639--1647. Oxford University Press ({OUP})
Animesh Acharjee, Richard D Horniblow, Prachi Pathak, Dario L Balacco, Eva Lles, Georgios Gkoutos, Andrew D Beggs, Chris Tselepis(2022). Iron-mediated epigenetic activation of NRF2 targets . The Journal of Nutritional Biochemistry. 101. p. 108929. Elsevier {BV}
Animesh Acharjee, Saraswati Koppad, Annappa Basava, Katrina Nash, Georgios V. Gkoutos (2022). Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes . Biology.
Animesh Acharjee, Saraswati Koppad, Annappa Basava, Katrina Nash, Georgios Gkoutos PhD DIC FRSB FRSM (2022). Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes . Biology.
Animesh Acharjee, Saptamita Paul Choudhury (2022). Artificial intelligence-based personalized nutrition and prediction of irritable bowel syndrome patients . Therapeutic Advances in Gastroenterology.
Animesh Acharjee, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M. Lord, Georgios V. Gkoutos, Stephen P. Young, et al.(2021). Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury . Metabolites. 12. (1). p. 29. {MDPI} {AG}
Multi-omics-based identification of atopic dermatitis target genes and their potential associations with metabolites and miRNAs @article{d8d86c15744c4110b6a5a50413d69519,
title = "Multi-omics-based identification of atopic dermatitis target genes and their potential associations with metabolites and miRNAs",
abstract = "Atopic dermatitis (AD), or atopic eczema, is one of the most common inflammatory skin diseases with up to 10% prevalence in adults, and approximately 15-20% in children in industrialized countries. As a result, there is an unmet need for faster, safer, and effective treatments for AD. AD pathogenesis represents a complex interplay between multiple factors, such as environmental factors or stimuli, genetic factors, immune dysfunctions. However, although multi-omics label studies have been very useful in understanding the pathophysiological mechanisms of AD and its clinical manifestations, there have been very few studies that integrate different labels of omics data. Here, we attempted to integrate gene expression and metabolomics datasets from multiple different publicly available AD cohort datasets and conduct an integrated systems-level AD analysis. We used four different GEO transcriptome data sets and, by applying an elastic net machine learning algorithm, identified robust hub genes that can be used as signatures, for example, H2AFX, MCM7, ESR1 and SF3A2. Moreover, we investigated potential associations of those genes by applying a pathway-based approach over metabolomics and miRNA datasets. Our results revealed potential novel associations between fatty acids and peroxisomal lipid metabolism pathways, as well as with several microRNAs.",
keywords = "Multi-omics, machine learning, atopic dermatitis (AD), eczema, pathway analysis, translational research",
author = "Animesh Acharjee and Elizaveta Gribaleva and Subia Bano and Gkoutos, {Georgios V}",
year = "2021",
month = dec,
day = "30",
language = "English",
volume = "13",
pages = "13697--13709",
journal = "American Journal of Translational Research",
issn = "1943-8141",
publisher = "E-Century Publishing",
number = "12",
}. American Journal of Translational Research.
Animesh Acharjee, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M. Lord, Georgios Gkoutos PhD DIC FRSB FRSM, Stephen P. Young, et al. (2021). Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury . Metabolites.
Animesh Acharjee, Roshan Shafiha, Basak Bahcivanci, Georgios V. Gkoutos(2021). Machine Learning-Based Identification of Potentially Novel Non-Alcoholic Fatty Liver Disease Biomarkers . Biomedicines. 9. (11). p. 1636. {MDPI} {AG}
Animesh Acharjee, Roshan Shafiha, Basak Bahcivanci, Georgios Gkoutos PhD DIC FRSB FRSM (2021). Machine Learning-Based Identification of Potentially Novel Non-Alcoholic Fatty Liver Disease Biomarkers . Biomedicines.
Animesh Acharjee, Tanya M. Monaghan, Niharika A Duggal, Elisa Rosati, Ruth Griffin, Jamie Hughes, Brandi Roach, David Y. Yang, Christopher Wang, Karen Wong, et al. (2021). A Multi-Factorial Observational Study on Sequential Fecal Microbiota Transplant in Patients with Medically Refractory <i>Clostridioides difficile</i> Infection . Cells.
(2021). Immune infiltration and prognostic and diagnostic use of LGALS4 in colon adenocarcinoma and bladder urothelial carcinoma . American journal of translational research.
Immune infiltration and prognostic and diagnostic use of LGALS4 in colon adenocarcinoma and bladder urothelial carcinoma @article{dd81ca004ba4468f8e91acc8ccb32744,
title = "Immune infiltration and prognostic and diagnostic use of LGALS4 in colon adenocarcinoma and bladder urothelial carcinoma",
abstract = "Colon adenocarcinoma (COAD) is a common tumor of the gastrointestinal tract with a high mortality rate. Current research has identified many genes associated with immune infiltration that play a vital role in the development of COAD. In this study, we analyzed the prognostic and diagnostic features of such immune-related genes in the context of colonic adenocarcinoma (COAD). We analysed 17 overlapping gene expression profiles of COAD and healthy samples obtained from TCGA-COAD and public single-cell sequencing resources, to identify potential therapeutic COAD targets. We evaluated the abundance of immune infiltration with those genes using the TIMER (Tumor Immune Estimation Resource) deconvolution method. Subsequently, we developed predictive and survival models to assess the prognostic value of these genes. The LGALS4 (Galectin-4) gene was found to be significantly (P<0.05) downregulated in COAD and bladder urothelial carcinoma (BLCA) compared to healthy samples. We identified LGALS4 as a prognostic and diagnostic marker for multiple cancer types, including COAD and BLCA. Our analysis reveals a series of novel candidate drug targets, as well as candidate molecular markers, that may explain the pathogenesis of COAD and BLCA. LGALS4 gene is associated with multiple cancer types and is a possible prognostic, as well as diagnostic, marker of COAD and BLCA.",
keywords = "Biomarker, BLCA, Immune infiltration, LGALS4, Omics integration, Translational research",
author = "Animesh Acharjee and Prasoon Agarwal and Katrina Nash and Subia Bano and Taufiq Rahman and Georgios Gkoutos",
note = "Publisher Copyright: {\textcopyright} 2021 E-Century Publishing Corporation. All rights reserved.",
year = "2021",
month = oct,
day = "30",
language = "English",
volume = "13",
pages = "11353--11363",
journal = "American Journal of Translational Research",
issn = "1943-8141",
publisher = "E-Century Publishing",
number = "10",
}. American Journal of Translational Research.
Animesh Acharjee, Marietta Iacucci, Louisa Jeffery, Olga Maria Nardone, Davide Zardo, Samuel C L Smith, Alina Bazarova, Rosanna Cannatelli, Uday N Shivaji, John Williams, et al.(2021). Ultra-high Magnification Endocytoscopy and Molecular Markers for Defining Endoscopic and Histologic Remission in Ulcerative Colitis—An Exploratory Study to Define Deep Remission . Inflammatory Bowel Diseases. Oxford University Press ({OUP})
Animesh Acharjee, Hannah Wood, Hayden Pearce, Mohammed Nabil Quraishi, Richard Powell, Amanda Rossiter, Andrew Beggs, Andrew Ewer, Paul Moss, Gergely Toldi (2021). Breastfeeding promotes early neonatal regulatory T‐cell expansion and immune tolerance of non‐inherited maternal antigens . Allergy.
NFnetFu: A novel workflow for microbiome data fusion <head>
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</head> . Computers in Biology and Medicine.
Animesh Acharjee, John A. Williams, Dominic Russ, Laura Bravo-Merodio, Victor Roth Cardoso, Samantha C. Pendleton, Furqan Aziz, Georgios V. Gkoutos (2021). A Causal Web between Chronotype and Metabolic Health Traits . Genes.
Animesh Acharjee, Tanya M. Monaghan, Rima N. Biswas, Rupam R. Nashine, Samidha S. Joshi, Benjamin Mullish, Anna M. Seekatz, Jesus Miguens Blanco, Julie A. K. McDonald, Julian Marchesi, et al. (2021). Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India . Microorganisms.
Animesh Acharjee, John A. Williams, Dominic Russ, Laura Bravo Merodio, Victor Roth Cardoso, Samantha Pendleton, Furqan Aziz, Georgios Gkoutos PhD DIC FRSB FRSM (2021). A Causal Web between Chronotype and Metabolic Health Traits . Genes.
Animesh Acharjee, Vartika Bisht, Katrina Nash, Yuanwei Xu, Prasoon Agarwal, Sofie Bosch, Georgios V. Gkoutos(2021). Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer . International Journal of Molecular Sciences. 22. (11). p. 5763. {MDPI} {AG}
Animesh Acharjee, Vartika Bisht, Katrina Nash, Yuanwei Xu, Prasoon Agarwal, Sofie Bosch, Georgios Gkoutos PhD DIC FRSB FRSM (2021). Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer . International Journal of Molecular Sciences.
Animesh Acharjee, Zsuzsanna Ament, Matthew B. Bevers, Zoe Wolcott, W. Taylor Kimberly(2021). Uric Acid and Gluconic Acid as Predictors of Hyperglycemia and Cytotoxic Injury after Stroke . Translational Stroke Research. 12. (2). p. 293--302. Springer Science and Business Media {LLC}
(2021). Unique diagnostic signatures of concussion in the saliva of male athletes: the Study of Concussion in Rugby Union through MicroRNAs (SCRUM) . British journal of sports medicine.
(2021). Suppression of insulin-induced gene 1 (INSIG1) function promotes hepatic lipid remodelling and restrains NASH progression . Molecular metabolism.
Animesh Acharjee, Hassan Sadozai, Thomas Gruber, Beat Gloor, Eva Karamitopoulou(2021). Pancreatic Cancers with High Grade Tumor Budding Exhibit Hallmarks of Diminished Anti-Tumor Immunity . Cancers. 13. (5). p. 1090. {MDPI} {AG}
Animesh Acharjee, Hassan Sadozai, Thomas Gruber, Beat Gloor, Eva Karamitopoulou (2021). Pancreatic Cancers with High Grade Tumor Budding Exhibit Hallmarks of Diminished Anti-Tumor Immunity . Cancers.
Sadozai H, Acharjee A, Gruber T, Gloor B, Karamitopoulou E, Lin H(2021). Pancreatic Cancers with High Grade Tumor Budding Exhibit Hallmarks of Diminished Anti-Tumor Immunity . Cancers.
(2021). Distinct Stromal and Immune Features Collectively Contribute to Long-Term Survival in Pancreatic Cancer . Frontiers in immunology.
Animesh Acharjee, Jon Hazeldine, Robert J Dinsdale, David N Naumann, Jonathan R B Bishop, Janet M Lord, Paul Harrison(2021). Traumatic injury is associated with reduced deoxyribonuclease activity and dysregulation of the actin scavenging system . Burns & Trauma. 9. Oxford University Press ({OUP})
Koch M, Acharjee A, Ament Z, Schleicher R, Bevers M, Stapleton C, Patel A, Kimberly WT(2021). Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage . Neurosurgery.
Animesh Acharjee, Saraswati Koppad, Annappa B, Georgios V Gkoutos(2021). Cloud Computing Enabled Big Multi-Omics Data Analytics . Bioinformatics and Biology Insights. 15. p. 117793222110359. {SAGE} Publications
Animesh Acharjee, Joseph Larkman, Yuanwei Xu, Victor Roth Cardoso, Georgios V. Gkoutos(2020). A random forest based biomarker discovery and power analysis framework for diagnostics research . BMC Medical Genomics. 13. (1). Springer Science and Business Media {LLC}
Animesh Acharjee, Furqan Aziz, John A. Williams, Dominic Russ, Laura Bravo-Merodio, Georgios V. Gkoutos(2020). Biomarker Prioritisation and Power Estimation Using Ensemble Gene Regulatory Network Inference . International Journal of Molecular Sciences. 21. (21). p. 7886. {MDPI} {AG}
Animesh Acharjee, Furqan Aziz, John A. Williams, Dominic Russ, Laura Bravo-Merodio, Georgios V. Gkoutos (2020). Biomarker Prioritisation and Power Estimation Using Ensemble Gene Regulatory Network Inference . International Journal of Molecular Sciences.
Liu KD, Acharjee A, Hinz C, Liggi S, Murgia A, Denes J, Gulston MK, Wang X, Chu Y, West JA, et al.(2020). Consequences of Lipid Remodeling of Adipocyte Membranes Being Functionally Distinct from Lipid Storage in Obesity . Journal of proteome research.
(2020). The Consequences of Lipid Remodelling of Adipocyte Membranes Being Functionally Distinct From Lipid Storage in Obesity. Journal of Proteome Research.
(2020). Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz) . Plant methods.
Animesh Acharjee, Veronica Lolli, Donato Angelino, Michele Tassotti, Daniele Del Rio, Pedro Mena, Augusta Caligiani (2020). Chemical Characterization of Capsule-Brewed Espresso Coffee Aroma from the Most Widespread Italian Brands by HS-SPME/GC-MS . Molecules.
Animesh Acharjee, Veronica Lolli, Donato Angelino, Michele Tassotti, Daniele Del Rio, Pedro Mena, Augusta Caligiani (2020). Chemical Characterization of Capsule-Brewed Espresso Coffee Aroma from the Most Widespread Italian Brands by HS-SPME/GC-MS . Molecules.
Quraishi MN, Acharjee A, Beggs AD, Horniblow R, Tselepis C, Gkoutus G, Ghosh S, Rossiter A, Loman N, van Schaik W, et al.(2020). A pilot integrative analysis of colonic gene expression, gut microbiota and immune infiltration in primary sclerosing cholangitis-inflammatory bowel disease: association of disease with bile acid pathways . Journal of Crohn's & colitis.
(2020). OP09 Immunomodulatory mechanisms of faecal microbiota transplantation are associated with clinical response in ulcerative colitis: early results from STOP-Colitis . Journal of Crohn's and Colitis.
(2020). P297 Novel serum soluble markers of histological healing in ulcerative colitis . Journal of Crohn's and Colitis.
(2020). P005 Regulators of the guanylate cyclase pathway are potential novel markers of mucosal healing in IBD . Journal of Crohn's and Colitis.
Animesh Acharjee, Laura Bravo-Merodio, Jon Hazeldine, Conor Bentley, Mark Foster, Georgios V. Gkoutos, Janet M. Lord (2019). Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction . Scientific Data.
Animesh Acharjee, Laura Bravo-Merodio, John A. Williams, Georgios V. Gkoutos(2019). -Omics biomarker identification pipeline for translational medicine . Journal of Translational Medicine. 17. (1). Springer Science and Business Media {LLC}
Stapleton CJ, Acharjee A, Irvine HJ, Wolcott ZC, Patel AB, Kimberly WT(2019). High-throughput metabolite profiling: identification of plasma taurine as a potential biomarker of functional outcome after aneurysmal subarachnoid hemorrhage . Journal of neurosurgery.
(2019). 125 - Altered DNA Methylation and Serum Levels of Metabolites is Associated With Type 2 Diabetes in Adolescents . Canadian Journal of Diabetes.
Animesh Acharjee, Pedro Mena, Iziar A. Ludwig, Virginia B. Tomatis, Luca Calani, Alice Rosi, Furio Brighenti, Sumantra Ray, Julian L. Griffin, Les J. Bluck, et al.(2019). Inter-individual variability in the production of flavan-3-ol colonic metabolites: preliminary elucidation of urinary metabotypes . European Journal of Nutrition. 58. (4). p. 1529--1543. Springer Science and Business Media {LLC}
Animesh Acharjee, Hannah J Irvine, Zoe Wolcott, Zsuzsanna Ament, Holly Hinson, Bradley J Molyneaux, J Marc Simard, Kevin N Sheth, W Taylor Kimberly(2019). Abstract TMP18: Intravenous Glibenclamide Reduces Hypoxanthine, a Novel Predictor of Brain Edema Formation: An Exploratory Analysis of GAMES-RP . Stroke. 50. (Suppl{\_}1). Ovid Technologies (Wolters Kluwer Health)
Animesh Acharjee, Jonathan P. Segal, Benjamin H. Mullish, Mohammed Nabil Quraishi, Horace R. T. Williams, Tariq Iqbal, Ailsa L. Hart, Julian R. Marchesi(2019). The application of omics techniques to understand the role of the gut microbiota in inflammatory bowel disease . Therapeutic Advances in Gastroenterology. 12. p. 175628481882225. {SAGE} Publications
Animesh Acharjee, Francis W. B. Sanders, Celia Walker, Luke Marney, Lee D. Roberts, Fumiaki Imamura, Benjamin Jenkins, Jack Case, Sumantra Ray, Samuel Virtue, et al.(2018). Hepatic steatosis risk is partly driven by increased de novo lipogenesis following carbohydrate consumption . Genome Biology. 19. (1). Springer Nature
Animesh Acharjee, Steven A. Murfitt, Paola Zaccone, Xinzhu Wang, Yvonne Sawyer, Albert Koulman, Lee D. Roberts, Anne Cooke, Julian Leether Griffin(2018). Metabolomics and Lipidomics Study of Mouse Models of Type 1 Diabetes Highlights Divergent Metabolism in Purine and Tryptophan Metabolism Prior to Disease Onset . Journal of Proteome Research. 17. (3). p. 946--960. American Chemical Society ({ACS})
Animesh Acharjee, Pierre-Yves Chibon, Bjorn Kloosterman, Twan America, Jenny Renaut, Chris Maliepaard, Richard G. F. Visser(2018). Genetical genomics of quality related traits in potato tubers using proteomics . BMC Plant Biology. 18. (1). Springer Nature
Animesh Acharjee, Biplab Bhattacharjee, Muhammad Shafi(2017). Network mining based elucidation of the dynamics of cross-market clustering and connectedness in Asian region: An MST and hierarchical clustering approach . Journal of King Saud University - Computer and Information Sciences. Elsevier {BV}
Animesh Acharjee, Philippa Prentice, Carlo Acerini, James Smith, Ieuan A. Hughes, Ken Ong, Julian L. Griffin, David Dunger, Albert Koulman(2017). The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism . Metabolomics. 13. (3). Springer Nature
Animesh Acharjee, Biplab Bhattacharjee, Muhammad Shafi(2017). Investigating the Evolution of Linkage Dynamics among Equity Markets Using Network Models and Measures: The Case of Asian Equity Market Integration . Data. 2. (4). p. 41. {MDPI} {AG}
Animesh Acharjee, Zsuzsanna Ament, James A. West, Elizabeth Stanley, Julian L. Griffin(2016). Integration of metabolomics, lipidomics and clinical data using a machine learning method . BMC Bioinformatics. 17. (S15). Springer Nature
Animesh Acharjee, Biplab Bhattacharjee, Muhammad Shafi, Wei-Xing Zhou(2016). Investigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling Study . PLOS ONE. 11. (11). p. e0166087. Public Library of Science ({PLoS})
Animesh Acharjee, Bjorn Kloosterman, Richard G. F. Visser, Chris Maliepaard(2016). Integration of multi-omics data for prediction of phenotypic traits using random forest . BMC Bioinformatics. 17. (S5). Springer Nature
Animesh Acharjee(2012). Comparison of Regularized Regression Methods for ~Omics Data . Journal of Postgenomics Drug & Biomarker Development. 03. (03). {OMICS} Publishing Group
Carreno-Quintero, N., Acharjee, A., Maliepaard, C., Bachem, C.W.B., Mumm, R., Bouwmeester, H., Visser, R.G.F., Keurentjes, J.J.B.(2012). Untargeted metabolic quantitative trait loci analyses reveal a relationship between primary metabolism and potato tuber quality . Plant Physiology. 158. (3). p. 1306-1318.
Animesh Acharjee, Bjorn Kloosterman, Ric C.H. de Vos, Jeroen S. Werij, Christian W.B. Bachem, Richard G.F. Visser, Chris Maliepaard(2011). Data integration and network reconstruction with ∼omics data using Random Forest regression in potato . Analytica Chimica Acta. 705. (1-2). p. 56--63. Elsevier {BV}
BOOK CHAPTER
(2020). Translational biomarkers in the era of precision medicine . Advances in Clinical Chemistry.
BOOK
Zardilis, A., Dias, J., Acharjee, A., Smith, J.(2014). Extensible and executable stochastic models of fatty acid and lipid metabolism . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8859. p. 244-247.