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Dr Animesh Acharjee

Departments and Institutes

Department of Biochemistry:
Visiting Scientist

Research Interests

Data driven decision making strategies which includes in the field of health care, finance, marketing domain. More specifically, high dimensional data analysis, predictive modelling, network analytics, feature selection

Keywords

Machine Learning ; Big Data Analytics ; Analytics ; Bioinformatics ; Translational medicine ; Big Data in Biology ; Statistical Learning ; Predictive Analytics

Key Publications

Omics analytics

Acharjee A, Chibon PY, Kloosterman B, America T, Renaut J, Maliepaard C, Visser RGF; Genetical genomics of quality related traits in potato tubers using proteomics, BMC Plant biology, 2018 (Accepted)

Murfitt SA, Zaccone P, Wang X, Acharjee A, Sawyer Y, Koulman A, Roberts LD,Cooke A, Griffin J. A metabolomics and lipidomics study of mouse models of type 1 diabetes highlights divergent metabolism in purine and tryptophan metabolism prior to disease on-set. J Proteome Res. (2017)

The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism. Metabolomics. Acharjee et al., (2017);13(3):25

Integration of metabolomics, lipidomics and clinical data using machine learning methods (2016), Acharjee et al., BMC Bioinformatics (2016), 17(Suppl 15):440

Integration of multi-omics data for prediction of phenotypic traits using random forest (2016), Acharjee et al., BMC Bioinformatics, 17(Suppl 5):180

Extensible and Executable Stochastic Models of Fatty Acid and Lipid Metabolism, Computational Methods in Systems Biology (2014), Zardilis  et al., Lecture Notes in Computer Science, 8859:244-247

Comparison of regularized regression methods for ~omics data (2013), Acharjee et al., Journal of Metabolomics, 3:126

Untargeted metabolic quantitative trait loci analyses reveal a relationship between primary metabolism and potato tuber quality (2012), Carreno-Quintero et al., Plant Physiology, 158:1306-18  

Data integration and network reconstruction with ~omics data using Random Forest regression in potato (2011), Acharjee et al., Analytica Chimica Acta, 705:56–63

 

Financial network analytics

Bhattacharjee B, Shafi M, Acharjee A#, Investigating the evolution of linkage dynamics among equity markets using network models and measures: A case of Asian equity market segmentation and integration, Data, 2017, 2(4), 41; doi:10.3390/data2040041

Bhattacharjee B, Shafi M, Acharjee A#, 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 (2017), DOI: 10.1016/j.jksuci.2017.11.002

Bhattacharjee B, Shafi M, Acharjee A#, Investigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling Study. PLoS One. 2016, 15;11(11). doi: 10.1371/journal.pone.0166087.