Alternatives and similar repositories for Perturb-CITE-seq:

Users that are interested in Perturb-CITE-seq are comparing it to the libraries listed below

• klarman-cell-observatory / sc_eVIP
  Variant impact phenotyping using Perturb-seq
  ☆9Updated last year
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 3 years ago
• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆39Updated 7 months ago
• caleblareau / asap_reproducibility
  Reproducing all analyses and figures for the ASAP-seq paper
  ☆29Updated 3 years ago
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆30Updated 2 years ago
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆22Updated 4 years ago
• theislab / mubind
  Learning motif contributions to cell transitions using sequence features and graphs.
  ☆28Updated 8 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"
  ☆52Updated 4 years ago
• ratschlab / scim
  Code for Universal Single-Cell Matching with Unpaired Feature Sets
  ☆21Updated 3 years ago
• JialongJiang / DSPIN
  Code and example of the D-SPIN framework
  ☆22Updated last week
• zcang / SpaOTsc
  ☆45Updated 2 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆40Updated 2 years ago
• almaan / eggplant
  ☆21Updated 2 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆42Updated 2 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆20Updated 5 months ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆68Updated 2 years ago
• khodosevichlab / CellAnnotatoR
  Automated marker-based annotation of cell types
  ☆13Updated 2 years ago
• bm2-lab / scMVP
  ☆29Updated 3 weeks ago
• CostaLab / scMEGA
  scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference
  ☆38Updated 7 months ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆56Updated last year
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆74Updated last year
• zhanglhbioinfor / DIRECT-NET
  ☆10Updated last year
• SydneyBioX / SimBench
  ☆16Updated last year
• CamaraLab / STvEA
  Spatially-resolved Transcriptomics via Epitope Anchoring
  ☆18Updated last year
• shuxiaoc / mario-py
  MARIO: single-cell proteomic data matching and integration using both shared and distinct features
  ☆23Updated last year
• josephreplogle / guide_calling
  Tools for sgRNA calling in direct capture Perturb-seq data
  ☆32Updated last year
• viannegao / ChromaFold
  ☆26Updated 7 months ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 4 years ago