ZainulArifin1's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
sokrypton/ColabFold
Making Protein folding accessible to all!
bowang-lab/scGPT
crazyhottommy/scRNAseq-analysis-notes
scRNAseq analysis notes from Ming Tang
twitter-research/graph-neural-pde
Graph Neural PDEs
fulcrumgenomics/fgbio
Tools for working with genomic and high throughput sequencing data.
r3fang/SnapATAC
Analysis Pipeline for Single Cell ATAC-seq
SGDDNB/ShinyCell
Shiny Interactive Web Apps for Single-Cell Data
Dragonmasterx87/Interactive-3D-Plotting-in-Seurat-3.0.0
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
FredHutch/SEACR
SEACR: Sparse Enrichment Analysis for CUT&RUN
twitter-research/sign
SIGN: Scalable Inception Graph Network
tanaylab/metacells
Metacells - Single-cell RNA Sequencing Analysis
krasnowlab/HLCA
bowang-lab/BIONIC
Biological Network Integration using Convolutions
saezlab/cosmosR
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
saezlab/CollecTRI
Gene regulatory network containing signed transcription factor-target gene interactions
cansysbio/ConsensusTME
ConsensusTME Gene Sets and R Script
wanglabtongji/CCI
Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
collinwa/MCFA
laurenhsu1/corral
Dimensionality reduction and batch integration methods for single cell data
praneet1988/Inferring-and-Visualizing-RNA-Velocity-in-Bulk-RNA-SEQ
Analysis steps to calculate RNA Velocity in Bulk RNA-Seq samples. Step by Step Guide.
PYangLab/ClueR
Cluster Evaluation R package (ClueR) for detecting key signaling events from time-series phosphoproteomics data
PYangLab/KSP-PUEL
Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data
VergaJU/Longhack2023
AGen23/Longhack2023-iNET
califano-lab/vespa
VESPA (Virtual Enrichment-based Signaling Protein-activity Analysis) algorithm
PhilippJunk/protanar
PROTeomics ANAlysis in R
saezlab/MOON_example