Alternatives and similar repositories for ACTIVA

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

• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆63Updated last year
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 3 years ago
• KenLauLab / dropkick
  Automated cell filtering for single-cell RNA sequencing data
  ☆25Updated 2 years ago
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆77Updated 2 years ago
• cistrome / MIRA
  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
  ☆67Updated 5 months ago
• welch-lab / pyliger
  Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)
  ☆30Updated 7 months ago
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 5 years ago
• qiaochen / VeloAE
  Low-dimensional Projection of Single Cell Velocity
  ☆28Updated 3 years ago
• shmohammadi86 / ACTIONet
  ACTIONet single-cell analysis framework
  ☆44Updated last year
• TaylorResearchLab / scedar
  Single-cell exploratory data analysis for RNA-Seq
  ☆40Updated 4 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 3 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• zhouzilu / cTPnet
  cTPnet Package
  ☆27Updated 3 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆65Updated 5 years ago
• GreenleafLab / motifmatchr
  Fast motif matching in R
  ☆46Updated last year
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated last year
• BorchLab / Ibex
  Using BCR and expression for sequence embedding
  ☆25Updated 2 weeks ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• netbiolab / scHumanNet
  Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3
  ☆44Updated 3 months ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆112Updated last year
• jingxinfu / TIDEpy
  TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade…
  ☆34Updated 3 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆25Updated 2 years ago
• theislab / AutoGeneS
  ☆61Updated 4 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• shtoneyan / gopher
  Toolset for training quantitative sequence to function models.
  ☆23Updated last year
• suinleelab / contrastiveVI
  ☆60Updated last year
• tanlabcode / CytoTalk
  A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…
  ☆43Updated 2 months ago