Alternatives and similar repositories for PyMethylProcess

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

• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆48Updated last year
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• idekerlab / pyNBS
  Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)
  ☆37Updated 11 months ago
• Christensen-Lab-Dartmouth / MethylNet
  Modular framework for deep learning predictions on methylation data.
  ☆55Updated 5 years ago
• umccr / neoantigens
  🏺 Exploring novel tumor epitope identification
  ☆36Updated 4 years ago
• PMBio / deepcpg
  Deep neural networks for predicting CpG methylation
  ☆37Updated 8 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 4 years ago
• netZoo / netbooks
  Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..
  ☆44Updated last month
• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆55Updated 2 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 3 years ago
• greenelab / pancancer
  Building classifiers using cancer transcriptomes across 33 different cancer-types
  ☆119Updated 6 years ago
• ucscXena / xenaPython
  Python API for Xena Hub
  ☆53Updated 2 years ago
• mousepixels / sanbomics
  bioinformatics plotting and tools
  ☆59Updated last year
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆51Updated 4 months ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 3 months ago
• davidnboone / tcga_brca_rnaseq
  jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data
  ☆33Updated 6 years ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆23Updated last month
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 2 years ago
• cantinilab / momix-notebook
  ☆67Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated last month
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆27Updated 9 months ago
• TaylorResearchLab / scedar
  Single-cell exploratory data analysis for RNA-Seq
  ☆40Updated 4 years ago
• fsct135 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• JanZrimec / DeepExpression
  ☆34Updated 2 years ago
• urmi-21 / COVID-19-RNA-Seq-datasets
  A repository for sharing information on available COVID-19 RNA-Seq datasets
  ☆80Updated 3 years ago
• arnor-sigurdsson / EIR
  A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
  ☆41Updated last week
• epaull / TieDIE
  Tied Diffusion for Subnetwork Discovery (TieDIE)
  ☆37Updated 3 years ago
• bhklab / PharmacoGx
  R package to analyze large-scale pharmacogenomic datasets.
  ☆70Updated 3 weeks ago