Alternatives and similar repositories for ALRA-paper:

Users that are interested in ALRA-paper are comparing it to the libraries listed below

• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆22Updated 3 years ago
• Winnie09 / imputationBenchmark
  benchmark for single-cell RNA-seq imputation methods
  ☆25Updated 11 months ago
• forrest-lab / NATMI
  NATMI: Network Analysis Toolkit for the Multicellular Interactions
  ☆35Updated 3 years ago
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆29Updated 2 years ago
• sdentro / copykat_pipeline
  ☆11Updated last year
• broadinstitute / single_cell_classification
  Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles
  ☆29Updated 4 years ago
• mohuangx / SAVER-paper
  Scripts for data and figure generation in SAVER paper
  ☆17Updated 4 years ago
• SydneyBioX / CiteFuse
  CiteFuse:
  ☆27Updated 2 years ago
• brianhie / trajectorama
  Multi-study integration of cellular trajectories
  ☆18Updated 4 years ago
• RGLab / covid19_sc
  Processing workflow for COVID-19 single cell data
  ☆17Updated 3 years ago
• klarman-cell-observatory / perturbseq
  Perturb-seq analysis package
  ☆14Updated 9 months ago
• khodosevichlab / CellAnnotatoR
  Automated marker-based annotation of cell types
  ☆13Updated 2 years ago
• dibbelab / singlecell_bcatlas
  Breast Cancer Single Cell Atlas
  ☆12Updated 2 years ago
• gambalab / gficf
  An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
  ☆17Updated last year
• markrobinsonuzh / scRNAseq_clustering_comparison
  A study to compare methods for clustering of scRNA-seq data
  ☆42Updated 7 months ago
• SpatialTranscriptomicsResearch / std-nb
  Negative binomial regression for Spatial Transcriptomics data as described in Maaskola et al. 2018
  ☆21Updated 6 years ago
• ncbi / scPopCorn
  A python tool to do comparative analysis of mulitple single cell datasets.
  ☆21Updated 5 years ago
• Vivianstats / scINSIGHT
  Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
  ☆20Updated 10 months ago
• kostkalab / vaeda
  Vaeda method for computational doublet annotation
  ☆15Updated 7 months ago
• viannegao / ChromaFold
  ☆23Updated 4 months ago
• liulab-dfci / lisa
  epigenome analysis to rank transcription factors
  ☆13Updated 5 years ago
• yizhak-lab-ccg / RNA_MUTECt_WMN
  ☆22Updated 2 years ago
• wenweixiong / MARVEL
  ☆45Updated 6 months ago
• bhklab / Xeva
  XEnograft Visualization & Analysis
  ☆11Updated 2 months ago
• BatadaLab / scID
  scID
  ☆13Updated 3 years ago
• veltenlab / mitoClone
  ☆12Updated 3 years ago
• PFPrzytycki / CellWalkR
  CellWalkR: An R Package for integrating single-cell and bulk data to resolve regulatory elements
  ☆10Updated 3 months ago
• GreenleafLab / ChrAccR
  Analyzing chromatin accessibility data in R
  ☆18Updated last year
• mainciburu / WAT3R
  Workflow for the Association of T-cell receptors from 3' single-cell RNA-seq (WAT3R)
  ☆21Updated 2 years ago
• theislab / scanpy-in-R
  A guide to using the Python scRNA-seq analysis package Scanpy from R
  ☆13Updated 4 years ago