hiranumn/DeepATACseq

Stars
21
Rank 1,063,038 (Top 22 %)
Language
Jupyter Notebook
Created almost 7 years ago
Updated almost 7 years ago

hiranumn/DeepATACseq

hiranumn

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository for the code for DeepATAC project presented at WCB workshop in ICML2017

IntegratedGradients

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Jupyter Notebook

DeepAccNet

Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.

IntegratedGradientsTF

Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.

Jupyter Notebook

DLmodels

Personal experiments and implementation examples of deep learning papers.

Jupyter Notebook

DeepAccNet-TF

Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)

ATAC_peak

Deep learning framework to predict TF binding from DNA-sequence and ATAC-seq signals.

Jupyter Notebook

LocalAccuracyPredictor

Tensorflow/Python implementation of local accuracy predictor for proteins

Jupyter Notebook

BackpropDemonstration

Demonstration of back-propagation for the undergrad ML class that I TAed [Archived]

PyProtein

An easy interface to extract data from pdbs using the rosetta framework

jlVCF

A simple VCF file parser for Julia 3.0

GraphConv

Implementation of graph convolution layers

Jupyter Notebook

ChipSeqUtil.jl

Utility files for analyzing ChIP-Seq data.

jlBAM

A simple bam file reader for Julia 5.0

BackboneEstimator.py

Estimates backbone quality based on C beta (or C alpha) distance maps.

Jupyter Notebook

AminoAcids2BackboneAngles

Sample deep-learning notebooks for presentation given at BakerLab @ UW

Jupyter Notebook