erwusht

erwusht's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34k7521.3k7.8k

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.2k64320627

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.7k46347518

• owkin/PyDESeq2

  A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

  Language:Python5801012760

• Starlitnightly/omicverse

  A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

  Language:Jupyter Notebook430513645

• chris-mcginnis-ucsf/DoubletFinder

  R package for detecting doublets in single-cell RNA sequencing data

  Language:R4048195107

• navinlabcode/copykat

  Language:R2041011854

• snap-stanford/GEARS

  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

  Language:Python19667840

• Rachnog/Neural-ODE-Experiments

  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data

  Language:Jupyter Notebook19512161

• jackievaleri/BioAutoMATED

  Automated machine learning for analyzing, interpreting, and designing biological sequences

  Language:Jupyter Notebook1648720

• dpeerlab/SEACells

  SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data

  Language:Jupyter Notebook14565826

• ZJUFanLab/scDeepSort

  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

  Language:Python9862518

• Genentech/scimilarity

  A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

  Language:Python8612121

• QData/DeepChrome

  Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

  Language:Lua629914

• mousepixels/sanbomics

  bioinformatics plotting and tools

  Language:Python53235

• freesasa/freesasa-python

  FreeSASA Python Module

  Language:Cython4422912

• mkumar45/syngeneic_scRNAseq

  Language:MATLAB102

• ling-pan/Stochastic-GFN

  Language:Python9201

• kaistomics/PCASA

  PCASA is a tool for predicting the best gene combination targets of surface antigens by classification of malignant and non-malignant cells using single-cell RNA-seq data.

  Language:Jupyter Notebook8304

• maxxxxxxxin/NIRA

  Language:Python1