Alternatives and similar repositories for progeny-py

Users that are interested in progeny-py are comparing it to the libraries listed below

• saezlab / dorothea-py
  Dorothea package in Python
  ☆11Updated 3 years ago
• hemberg-lab / sc3s
  Single Cell Consensus Clustering with Speed
  ☆20Updated 3 years ago
• theislab / batchglm
  Fit generalized linear models in python.
  ☆28Updated 2 years ago
• Center-for-Health-Data-Science / multiDGD
  ☆26Updated 7 months ago
• brianhie / trajectorama
  Multi-study integration of cellular trajectories
  ☆19Updated 5 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆36Updated 3 months ago
• theislab / interactive_plotting
  ☆22Updated 5 years 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
• scverse / genomic-features
  Genomic Features in Python from BioConductor's AnnotationHub
  ☆22Updated 2 weeks ago
• saezlab / greta
  Benchmark of GRNs using the GRETA pipeline
  ☆30Updated 2 weeks ago
• DeplanckeLab / ChromatinHD
  High-definition modeling of chromatin + transcriptomics data
  ☆26Updated 8 months ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆51Updated 11 months ago
• pinellolab / pychromVAR
  A python package for chromVAR
  ☆32Updated 2 years ago
• praneet1988 / Inferring-and-Visualizing-RNA-Velocity-in-Bulk-RNA-SEQ
  Analysis steps to calculate RNA Velocity in Bulk RNA-Seq samples. Step by Step Guide.
  ☆17Updated 6 years ago
• azizilab / decipher
  A single-cell analysis toolkit to jointly analyze samples from distinct conditions
  ☆34Updated 9 months ago
• const-ae / pyLemur
  A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
  ☆27Updated last year
• cbg-ethz / dce
  Finding the causality in biological pathways
  ☆13Updated 2 years ago
• cellarium-ai / cellarium-ml
  Distributed single-cell data analysis.
  ☆35Updated last month
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆55Updated 2 years ago
• pachterlab / GFCP_2022
  RNA velocity validation
  ☆22Updated 3 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• JialongJiang / DSPIN
  Code and example of the D-SPIN framework
  ☆24Updated this week
• gagneurlab / scooby
  scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.
  ☆51Updated 2 months ago
• theislab / mubind
  Learning motif contributions to cell transitions using sequence features and graphs.
  ☆28Updated last year
• brineylab / grp-paper
  Code and data used in The Great Repertoire Project
  ☆29Updated 4 years ago
• BorchLab / Ibex
  Using BCR and expression for sequence embedding
  ☆25Updated last month
• shmohammadi86 / SCINET
  ☆19Updated 4 years ago
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆32Updated 3 weeks ago