Alternatives and similar repositories for sci-plex

Users that are interested in sci-plex are comparing it to the libraries listed below

• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆42Updated 11 months ago
• altoslabs / perturbench
  ☆37Updated 3 months ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆58Updated 5 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 3 years ago
• theislab / scgen-reproducibility
  ☆28Updated 4 years ago
• zhouzilu / cTPnet
  cTPnet Package
  ☆25Updated 3 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• theislab / scTab
  ☆59Updated 11 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• TencentAILabHealthcare / scTranslator
  ☆36Updated this week
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆66Updated 2 years ago
• bm2-lab / STAMP
  ☆10Updated 3 months ago
• josephreplogle / guide_calling
  Tools for sgRNA calling in direct capture Perturb-seq data
  ☆37Updated 2 years ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆66Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• shmohammadi86 / SCINET
  ☆18Updated 4 years ago
• czi-ai / scGenePT
  ☆21Updated 7 months ago
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 2 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆47Updated last month
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆109Updated last year
• QiuyuLian / CITE-sort
  ☆17Updated 4 years ago
• QuKunLab / MultiomeBenchmarking
  ☆50Updated 5 months ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆103Updated 2 years ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆47Updated 3 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• SchubertLab / mvTCR
  ☆54Updated 9 months ago
• theislab / prophet
  ☆36Updated 3 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆44Updated last month
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆102Updated 2 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆69Updated 2 years ago