Alternatives and similar repositories for clustergrammer2-notebooks

Users that are interested in clustergrammer2-notebooks are comparing it to the libraries listed below

• ismms-himc / visium-clustergrammer2
  Spatial Transcriptomics Dashboard
  ☆27Updated last year
• theislab / batchglm
  Fit generalized linear models in python.
  ☆27Updated 2 years ago
• greenelab / multi-plier
  An unsupervised transfer learning approach for rare disease transcriptomics
  ☆45Updated 5 years ago
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆39Updated 3 years ago
• ismms-himc / clustergrammer2
  "Dimensionality-increasing" data visualization tool and interactive WebGL Jupyter widget built for single-cell data.
  ☆115Updated 2 years ago
• lmweber / diffcyt
  R package for differential discovery analyses in high-dimensional cytometry data
  ☆20Updated 3 months ago
• ismms-himc / codex_dashboard
  Single Cell Multiplexed Imaging Jupyter Voila Dashboard using CODEX Data
  ☆17Updated last year
• KlugerLab / t-SNE-Heatmaps
  Beta version of 1D t-SNE heatmaps to visualize expression patterns of hundreds of genes simultaneously in scRNA-seq
  ☆48Updated 6 years ago
• BIRSBiointegration / Hackathon
  Multi-omics studies are available here
  ☆51Updated 2 years ago
• broadinstitute / genepy
  Genepy is an open source utils package covering a range of useful functions for large scale genomics data analysis in python
  ☆21Updated 2 years ago
• Teichlab / covid19_MS1
  Analysis notebooks for "SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes".
  ☆14Updated 4 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• Novartis / peax
  Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning wit…
  ☆68Updated 2 years ago
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 6 years ago
• KlugerLab / deepcytof
  ☆18Updated 8 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• gmiaslab / pyiomica
  PyIOmica (pyiomica) is a Python package for omics analyses.
  ☆15Updated 2 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆40Updated 2 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆53Updated 8 months ago
• NikolayOskolkov / NormalizeSingleCell
  Comparison of single cell normalization strategies
  ☆10Updated 3 years ago
• hammerlab / cohorts
  Utilities for analyzing mutations and neoepitopes in patient cohorts
  ☆20Updated 6 years ago
• vals / python-gprofiler
  ☆12Updated 6 years ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆35Updated 2 months ago
• pachterlab / picasso
  Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
  ☆70Updated 10 months 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
• krassowski / gsea-api
  Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)
  ☆15Updated 2 years ago
• KenLauLab / dropkick
  Automated cell filtering for single-cell RNA sequencing data
  ☆24Updated last year
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆70Updated 2 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆44Updated 8 months ago
• hammerlab / t-cell-relation-extraction
  Literature mining for T cell relations
  ☆23Updated 2 years ago