soumyakundu
CS PhD student @kundajelab at Stanford. Interested in deep learning, regulatory genomics, and neurodegenerative and psychiatric disorders.
Stanford University
Pinned Repositories
alzheimers_parkinsons
Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
variant-scorer
A framework to score and analyze variant effects genome-wide using ChromBPNet models
ABC-Enhancer-Gene-Prediction
Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)
CSE3000_BCI
CSE 3000 Presentation: Brain-Computer Interface (BCI)
dragonn
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
iC10
:exclamation: This is a read-only mirror of the CRAN R package repository. iC10 — A Copy Number and Expression-Based Classifier for Breast Tumours
intervene
Intervene: a tool for intersection and visualization of multiple genomic region and gene sets
kerasAC
keras accessibility models: code to train, predict, interpret
SaGePhy
A probabilistic simulation framework for sub-gene and gene phylogeny evolution
youclid
Geometric notation for everyone
soumyakundu's Repositories
soumyakundu/SaGePhy
A probabilistic simulation framework for sub-gene and gene phylogeny evolution
soumyakundu/ABC-Enhancer-Gene-Prediction
Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)
soumyakundu/CSE3000_BCI
CSE 3000 Presentation: Brain-Computer Interface (BCI)
soumyakundu/dragonn
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
soumyakundu/iC10
:exclamation: This is a read-only mirror of the CRAN R package repository. iC10 — A Copy Number and Expression-Based Classifier for Breast Tumours
soumyakundu/intervene
Intervene: a tool for intersection and visualization of multiple genomic region and gene sets
soumyakundu/kerasAC
keras accessibility models: code to train, predict, interpret
soumyakundu/pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
soumyakundu/pytorch_DANN
A implementation of DANN with pytorch
soumyakundu/tfmodisco-lite
A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.