Alternatives and similar repositories for PyMethylProcess

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

• idekerlab / pyNBS
  Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)
  ☆37Updated 11 months ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• TaylorResearchLab / scedar
  Single-cell exploratory data analysis for RNA-Seq
  ☆40Updated 4 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 5 years ago
• davidnboone / tcga_brca_rnaseq
  jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data
  ☆33Updated 6 years ago
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆48Updated last year
• PMBio / deepcpg
  Deep neural networks for predicting CpG methylation
  ☆37Updated 8 years ago
• Christensen-Lab-Dartmouth / MethylNet
  Modular framework for deep learning predictions on methylation data.
  ☆55Updated 5 years ago
• mousepixels / sanbomics
  bioinformatics plotting and tools
  ☆59Updated last year
• netZoo / netbooks
  Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..
  ☆44Updated 2 weeks ago
• umccr / neoantigens
  🏺 Exploring novel tumor epitope identification
  ☆36Updated 5 years ago
• ucscXena / xenaPython
  Python API for Xena Hub
  ☆53Updated 2 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 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
  ☆51Updated last month
• shwhalen / ml-pitfalls
  Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
  ☆45Updated last year
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 4 years ago
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 4 months ago
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆27Updated 10 months ago
• epaull / TieDIE
  Tied Diffusion for Subnetwork Discovery (TieDIE)
  ☆37Updated 3 years ago
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆52Updated 4 months ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 2 years ago
• cantinilab / momix-notebook
  ☆67Updated last year
• JanZrimec / DeepExpression
  ☆34Updated 2 years ago
• Novartis / DRUG-seq
  DRUG (Digital RNA with pertUrbation of Genes)-seq data analysis pipeline
  ☆33Updated 6 months ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆23Updated 2 months ago
• epigenelabs / inmoose
  InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
  ☆105Updated last month
• arnor-sigurdsson / EIR
  A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
  ☆41Updated 2 weeks ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• cstoeckert / iterativeWGCNA
  Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.
  ☆65Updated 4 years ago
• MaayanLab / biojupies-plugins
  User-submitted RNA-seq data analysis tools for BioJupies.
  ☆20Updated 2 months ago