Starred repositories
Unified access to several second-generation deconvolution methods
Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks
MetaTiME: Meta-components in Tumor immune MicroEnvironment
Analysis of single cell RNA-seq data course
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Modeling of time series data for CRISPR KO experiments
ixxmu / mp_duty
Forked from duty-machine/duty-machine抓取网络文章到github issues保存
Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.
Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
NewAnce is a java software tool for MSMS searching proteogenomics databases. See Chong et al. Nature Comm. 2020 (https://www.nature.com/articles/s41467-020-14968-9) and README for more information.
Priorization of neoantigens by machine learning
A flexible framework for nucleosome profiling of cell-free DNA
Reproducibility of "Germline modifiers of the tumor immune microenvironment implicate drivers of cancer risk and immunotherapy response"
This is the alpha version of the CellOracle package
Updated SignatureAnalyzer-GPU with mutational spectra & RNA expression compatibility.
Super-resolved spatial transcriptomics by deep data fusion
Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA
cell type deconvolution for multi-condition bulk RNA-seq data