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Accurate and rapid RiboRNA sequences Detector based on deep learning
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
The second version of the Kraken taxonomic sequence classification system
Quality control tool on metagenomic and metatranscriptomic sequencing data, especially data from microbiome experiments.
Score calculation for immunotherapy prediction of non small cell lung caner
Lung cancer Immunotherapy Response Artificial intelligence model
A classifier for tumor microenvironment subtype based on ensemble machine learning models
IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
scPred package for cell type prediction from scRNA-seq data
Contains the results from the dynbenchmark evaluation, see https://github.com/dynverse/dynbenchmark
RHermes is a semi-targeted metabolomics package to deeply characterize biological and environmental samples.
Color blindness friendly visualization of single-cell and bulk RNA-sequencing data
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
Efficient and precise single-cell reference atlas mapping with Symphony
R Shiny app for CRI iAtlas, an interactive web portal for exploring immuno-oncology data. (iAtlas portal 2022 and beyond)
A novel machine learning pipeline to analyse spatial transcriptomics data
grst / quanTIseq
Forked from icbi-lab/quanTIseqa computational pipeline for the quantification of the Tumor Immune contexture from human RNA-seq data
Integrating LASSO and bootstrapping algorithm to find best prognostic or predictive biomarkers