DivyanshiSrivastava

Bichrom

Interpretable bimodal network for transcription factors binding site prediction

Read-correction

Error correcting in Oxford Nanopore reads through multiple sequence alignment

recurrent-filter-networks

Code for efficient iteration over DNA sequences; and recurrent neural models for transcription factor binding prediction.

MonteCarlo-TF

Interpreting Deep Networks Using MCTS

deep-genomics

Developing Deep Learning Approaches Suited to Heterogenous Genomics Datasets

basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

bootcamp-central

PSU bootcamp on reproducible research

chromNN

DivyanshiSrivastava.github.io

Sequence-Utilities

Local python scripts for sequence manipulations/stats/feature extraction

DivyanshiSrivastava/recurrent-filter-networks

Code for efficient iteration over DNA sequences; and recurrent neural models for transcription factor binding prediction.

DivyanshiSrivastava/basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

DivyanshiSrivastava/MonteCarlo-TF

Interpreting Deep Networks Using MCTS

DivyanshiSrivastava/thesis

DivyanshiSrivastava/Read-correction

Error correcting in Oxford Nanopore reads through multiple sequence alignment

DivyanshiSrivastava/chromNN

DivyanshiSrivastava/DivyanshiSrivastava.github.io

DivyanshiSrivastava/Sequence-Utilities

Local python scripts for sequence manipulations/stats/feature extraction

DivyanshiSrivastava/deep-genomics

Developing Deep Learning Approaches Suited to Heterogenous Genomics Datasets

DivyanshiSrivastava/bootcamp-central

PSU bootcamp on reproducible research