A list of scRNA-seq analysis tools

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Brendan's skeleton scRNAseq workflow using scran, Seurat, and scClustViz

T/B cell receptor sequencing analysis notes

Repository for benchmarking graph neural networks

DEPRECATED: Solver-independent functions (i.e. linprog and mixintprog) and low-level interface for Mathematical Programming

Digital Signal Processing Indicators For Market Data.

Port of the book Think Python to the Julia programming language

Must-read papers on graph neural networks (GNN)

Python package built to ease deep learning on graph, on top of existing DL frameworks.

📊Evaluating, filtering, comparing, and visualising VCF

Collection of talks given in the ML reading group@IIITD

Python bindings for libsbgn

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Dask tutorial

Transform Jupyter Notebook to a beautifully formated Ebook

A list of deep learning implementations in biology

Genomic Interactive Visualization Engine

Experiments with Deep Learning

source code from the book Genetic Algorithms with Python by Clinton Sheppard

Exercises of the book Tutorial on Neural Systems Modeling by Thomas J. Anastasio

Python Environment for Modeling and Simulating Biological Systems

piRNA pipeline collection developed in the Zamore Lab and ZLab in UMass Med School

Create timecourse "fish plots" that show changes in the clonal architecture of tumors

Create timecourse "fish plots" that show changes in the clonal architecture of tumors

RADIA: RNA and DNA Integrated Analysis for Somatic Mutation Detection