huangzhii / biolearns
BioLearns: Computational Biology and Bioinformatics Toolbox in Python
☆12Updated 2 years ago
Alternatives and similar repositories for biolearns
Users that are interested in biolearns are comparing it to the libraries listed below
Sorting:
- FUNctional toolKIt platform for multi-omic functional analysis. An standardised pipeline to analysis transcriptomic, proteomic, phospho…☆13Updated 3 years ago
- Multi-omics data normalisation, model fitting and visualisation.☆25Updated 2 years ago
- An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.☆26Updated last year
- Explore the cancer relevance of your gene list☆51Updated 2 months ago
- Phenome Exome Association and Correlation Of Key phenotypes☆28Updated 3 years ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- The KEGGgraph package to parse KEGG pathways in R into graph objects☆13Updated last month
- R/Shiny package for network-integrated pathway enrichment analysis☆14Updated 4 years ago
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 3 years ago
- A single-cell and spatial RNA-seq database for Alzheimer’s Disease☆23Updated 10 months ago
- A Bio2BEL package for integrating pathway-related information from KEGG in BEL☆13Updated 3 years ago
- Implementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutatio…☆13Updated last month
- Public data resources and Bioconductor: The goal of this workshop is to introduce Bioconductor packages for finding, accessing, and using…☆14Updated this week
- MetNormalizer is used to normalize large scale metabolomics data.☆22Updated 4 years ago
- Using BCR and expression for sequence embedding☆21Updated last month
- Code to reproduce TNBC analysis and figures☆23Updated 2 years ago
- Interactive tool for Phosphoproteomics☆13Updated 5 years ago
- Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously☆36Updated 2 years ago
- mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens☆29Updated last year
- A user-friendly R pipeline for biomarker discovery in single-cell transcriptomics☆12Updated last year
- Knowledge-primed neural networks☆36Updated 2 years ago