Jishnu Das
Jishnu Das

Machine Learning, Networks, Immunology, Coffee and Music

Leveraging diverse expertise to pioneer method development and apply practical solutions to diverse biological challenges!

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SLIDE- Significant Latent factor Interaction Discovery and Exploration across biological domains
From bench to bedside via bytes- multi-omic immunoprofiling and integration using machine learning and network approaches
High Dimensional Multiomics Reveals Unique Characteristics of Early Plasma Administration in Polytrauma Patients With TBI
Essential Regression- A generalizable framework for inferring causal latent factors from multi-omic datasets
A network-based approach to identify expression modules underlying rejection in pediatric liver transplantation
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations
Antibiotics-driven gut microbiome perturbation alters immunity to vaccine in humans
Genetic polymorphisms in the open reading frame of the CCR5 gene from HIV-1 seronegative and seropositive individuals from national capital regions of India
Latent model-based clustering for biological discovery
Daryl Mercer

Hi there ! 👋 Welcome to Jishnu's Systems Immunology Lab.

As a computational systems immunology lab, our research focuses on the development and use of novel systems approaches to analyze high-dimensional immunological datasets, and elucidate molecular mechanisms of immunological disorders. We are currently working on using network systems and functional genomic approaches to perform multi-scale integration of genomic and epigenomic datasets with biological networks to identify molecular phenotypes underlying these immunological disorders. We also use statistical and machine-learning techniques to integrate multi-omic datasets (genomic, transcriptomic, proteomic, metabolomic and antibody-omic) and elucidate molecular mechanisms of immune regulation and dysregulation.

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