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👋 Hi, I’m Vivek Das and you can find more about me in my website Vivek Das
👀 I work on finding therapeutic target or biomarkers (prognostic/predictive) for multiple cardiometabolomic (e.g. Chronic Kidney, Athersclerosis, Diabetes, Liver, Neurodegenrative, etc.) diseases combining data-driven and knowledge-driven avenues by leveraging the integreation of bulk and single cell multi-omics data alongside clinical data from human observational cohorts and clinical trials
🌱 I currently collaborate, lead studies or projects and team of exceptional clinical data scientistists and bioinformaticians involving single-cell transcriptomcis, spatial transcriptomics, proteomics, metabolomics, multi-omics data integration, clinical data integration to achieve the above
💻 I also worked on omics projects involving preclinical data with interventional designs e.g. knockout or drug treated at single cell or bulk multi-omics level
💞️ I also collaborate on developing applied machine learning models using publicly available data with curious students or researchers and contribute to open science and open source modeling. I am fascinated by the potential of high-dimnesional and high-throughput biomedical data.
This project consists of various scripts that were used for analysis of RNA-Seq data. The scripts are not customised but basal level which one can use to fit into their suitable experimental design…
This study includes 54 mouse kidney samples stratified into 9 groups based on disease, treatment, and genotype explanatory variables. The table below summarizes the experimental design.
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