huangzhii / biolearns
BioLearns: Computational Biology and Bioinformatics Toolbox in Python
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for biolearns
- FUNctional toolKIt platform for multi-omic functional analysis. An standardised pipeline to analysis transcriptomic, proteomic, phospho…☆13Updated 2 years ago
- Explore the cancer relevance of your gene list☆49Updated 2 months ago
- Multi-omics data normalisation, model fitting and visualisation.☆24Updated last year
- An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.☆24Updated last year
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 2 years ago
- Network annotation visualization☆17Updated 2 years ago
- Code to reproduce TNBC analysis and figures☆23Updated 2 years ago
- Materials and scripts for building cell type encyclopedia table☆15Updated 2 months ago
- An R package for analyzing high-dimensional cytometry data using the tidyverse.☆19Updated 2 months ago
- R/Shiny package for network-integrated pathway enrichment analysis☆14Updated 3 years ago
- Tools for analyzing data on the image from NanoString GeoMx Digital Spatial Profiler (DSP).☆18Updated 6 months ago
- A p-value-free method for controlling false discovery rates in high-throughput biological data with two conditions☆38Updated 2 years ago
- ☆10Updated 3 years ago
- PathIntegrate Python package for pathway-based multi-omics data integration☆11Updated last week
- A user-friendly R pipeline for biomarker discovery in single-cell transcriptomics☆12Updated last year
- Computational identification of targets for CAR-T cell therapy in AML☆15Updated last year
- Phenome Exome Association and Correlation Of Key phenotypes☆24Updated 3 years ago
- A collection of useful functions for bioinformatics data analysis☆18Updated 4 months ago
- Code related to scRNA analysis using the scAmpi workflow☆24Updated 2 weeks ago
- ☆12Updated last year
- A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.☆26Updated last week
- A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner☆21Updated this week
- PTa Analysis TOolkit☆11Updated 6 months ago
- MetNormalizer is used to normalize large scale metabolomics data.☆19Updated 3 years ago
- ☆16Updated 4 months ago
- TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages☆42Updated last year
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- ☆19Updated 4 years ago
- Code for paper "Principled feature attribution for unsupervised gene expression analysis"☆11Updated last year