Alternatives and similar repositories for nest_vnn:

Users that are interested in nest_vnn are comparing it to the libraries listed below

• klarman-cell-observatory / sc_eVIP
  Variant impact phenotyping using Perturb-seq
  ☆9Updated 11 months ago
• altoslabs / perturbench
  ☆23Updated 2 months ago
• marcottelab / protein_complex_maps
  Kdrew's scripts for handling protein complex map data
  ☆14Updated last year
• epigen / KPNN
  Knowledge-primed neural networks
  ☆35Updated 2 years ago
• crazyhottommy / Machine_learning_drug_discovery
  ☆26Updated 4 months ago
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆16Updated last week
• cantinilab / scPRINT-old1
  Single Cell Pretrained Regulatory network INference from Transcripts
  ☆11Updated 6 months ago
• shmohammadi86 / SCINET
  ☆18Updated 3 years ago
• cailab-tamu / scTenifoldNet
  A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data
  ☆22Updated 2 months ago
• krishnanlab / obnb
  A Python toolkit for setting up benchmarking dataset using biomedical networks
  ☆22Updated this week
• bhklab / PGx_Guidelines
  ☆10Updated 3 years ago
• hemberg-lab / sc3s
  Single Cell Consensus Clustering with Speed
  ☆21Updated 2 years ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆33Updated 4 years ago
• pachterlab / Bi-BE-CS-183-2022
  Website for the 2021-2022 Caltech class Bi/BE/CS 183: Introduction to Computational Biology and Bioinformatics
  ☆10Updated 3 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• saezlab / progeny-py
  PROGENY Python implementation
  ☆12Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• CancerRxGene / gdscIC50
  An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.
  ☆25Updated last year
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆22Updated 3 years ago
• stracquadaniolab / pygna
  A Python package for gene network analysis
  ☆32Updated 2 years ago
• theislab / mubind
  Learning motif contributions to cell transitions using sequence features and graphs.
  ☆28Updated 6 months ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆51Updated 4 years ago
• JialongJiang / DSPIN
  Code and example of the D-SPIN framework
  ☆19Updated last week
• ctokheim / deepDegron
  Deep learning model to predict degron sequences
  ☆20Updated 2 years ago
• theislab / batchglm
  Fit generalized linear models in python.
  ☆27Updated 2 years ago
• jiang-q19 / scPRAM
  scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
  ☆13Updated 5 months ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆40Updated last year
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 3 years ago
• josephreplogle / guide_calling
  Tools for sgRNA calling in direct capture Perturb-seq data
  ☆32Updated last year