Alternatives and similar repositories for CROTON

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

• CamaraLab / TDA-TCGA
  R package for the identification of cancer-associated mutated genes using gene expression and mutation data.
  ☆10Updated 3 years ago
• zj-zhang / AMBER
  Automated Modelling for Biological Evidence-based Research
  ☆46Updated last year
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆62Updated last year
• theislab / batchglm
  Fit generalized linear models in python.
  ☆28Updated 2 years ago
• ma-compbio / CTCF-MP
  ☆12Updated 4 years ago
• kipoi / kipoiseq
  Standard set of data-loaders for training and making predictions for DNA sequence-based models.
  ☆82Updated last year
• klarman-cell-observatory / Perturb-CITE-seq
  ☆15Updated 3 years ago
• stracquadaniolab / pygna
  A Python package for gene network analysis
  ☆32Updated 3 years ago
• AprilYuge / ResPAN
  a light structured Residual autoencoder and mutual nearest neighbor Paring guided Adversarial Network for scRNA-seq batch correction
  ☆15Updated 2 years ago
• Roy-lab / HiC-Reg
  HiC-Reg is a tool to predict Hi-C contact counts from one-dimensional regulatory signals
  ☆11Updated 5 years ago
• mhorlacher / rbpnet
  ☆18Updated last year
• ekernf01 / perturbation_benchmarking
  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.
  ☆19Updated 3 weeks ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• p-koo / learning_sequence_motifs
  "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
  ☆33Updated 5 years ago
• smaslova / AI-TAC
  ☆28Updated 2 years ago
• Genentech / polygraph
  Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …
  ☆35Updated 5 months ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• hemberg-lab / sc3s
  Single Cell Consensus Clustering with Speed
  ☆20Updated 2 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated 3 weeks ago
• shwhalen / ml-pitfalls
  Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
  ☆45Updated last year
• canzarlab / JVis-learn
  ☆20Updated 4 years ago
• autosome-ru / LegNet
  accurate prediction of promoter activity and variant effects from massive parallel reporter assays
  ☆41Updated 2 months ago
• JialongJiang / DSPIN
  Code and example of the D-SPIN framework
  ☆24Updated last month
• krishnanlab / PyGenePlexus
  A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input ge…
  ☆20Updated 3 weeks ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• fanzheng10 / HiDeF
  HiDeF (Hierarchical community Decoding Framework)
  ☆15Updated last year
• netZoo / netbooks
  Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..
  ☆44Updated last month