Stars
Deconer: A Comprehensive and Systematic Cell Type Deconvolution Evaluator
Bizard: A Biomedical Visualization Atlas. https://openbiox.github.io/Bizard/
This is the git repository matching the Bioconductor package xcms: LC/MS and GC/MS Data Analysis
A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
An r package for proteomics data Analysis, developed from DEP.
Integrative Composable Visualization Framework for ggplot2
⚡ TabPFN: Foundation Model for Tabular Data ⚡
a user-friendly and modular design R package tailored for analyzing single-cell and spatial transcriptome sequencing data of hematopoietic cells
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
Magpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, Flux, and more.
Accurate and rapid RiboRNA sequences Detector based on deep learning
ELTEbioinformatics / mulea
Forked from Biocodings/MulEAmulea - an R package for enrichment analysis using various ontologies and empirical false discovery rate
GCAP (Gene-level Circular Amplicon Prediction) firstly implements extrachromosomal DNA detection from whole-exome-sequencing (WES) data and absolute copy number profiles. https://shixiangwang.r-uni…
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Cancer circRNA identification pipeline with an ensemble approach
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
ModelScope: bring the notion of Model-as-a-Service to life.
An R package for inferring the subclonal architecture of tumors
Implementation of Nougat Neural Optical Understanding for Academic Documents
A tool for detecting somatic variants in single cell data