smenon2

basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

CBP_Epiregulon

cellranger-atac

chrombpnet

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

final-nn-shreya

Implement a generic neural network class and use it for autoencoding and classifying.

HW1-FAST-AQ-Parser-shreya

Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber

HW2-BFS-shreya

HW2 BFS

hw3-clustering-shreya

hw4-prim-mst-shreya

Implement Prim's algorithm to construct a minimum spanning tree.

HW5-NW-shreya

Project 5: Needleman-Wunsch Global Alignment

smenon2/chrombpnet

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

smenon2/CBP_Epiregulon

smenon2/final-nn-shreya

Implement a generic neural network class and use it for autoencoding and classifying.

smenon2/hw7-regression-shreya

Implement a logistic regression classifier using gradient descent.

smenon2/hw6-hmm-viterbi-shreya

Implementation of the Viterbi algorithm, a dynamic program that is a common decoder for Hidden Markov Models (HMMs).

smenon2/HW5-NW-shreya

Project 5: Needleman-Wunsch Global Alignment

smenon2/hw4-prim-mst-shreya

Implement Prim's algorithm to construct a minimum spanning tree.

smenon2/hw3-clustering-shreya

smenon2/HW2-BFS-shreya

HW2 BFS

smenon2/basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

smenon2/HW1-FAST-AQ-Parser-shreya

Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber

smenon2/cellranger-atac