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Yu Lab @ XMU's Projects

aquila icon aquila

Detection of low abundance foodborne pathogens

awesome-single-cell icon awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

bpformer icon bpformer

Tracing the Origins of Unknown Tumors Using Pathway-based Transformer Model

bwa-mem2 icon bwa-mem2

The next version of bwa-mem (WIP; not recommended for production uses at the moment)

camelyon icon camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

covid19 icon covid19

🦠 Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

daism-xmbd icon daism-xmbd

Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

dca icon dca

Deep count autoencoder for denoising scRNA-seq data

diamond icon diamond

A Multi-modal DIA Mass Spectrometry Data Processing Pipeline

diann icon diann

DIA-NN - a fast and easy to use tool for processing data-independent acquisition (DIA) proteomics data

dice-xmbd icon dice-xmbd

Deep learning-based cell segmentation tool for imaging mass cytometry

dreamdia-xmbd icon dreamdia-xmbd

Software for data-independent acquisition (DIA) proteomic data processing with deep representation features.

gitignore icon gitignore

A collection of useful .gitignore templates

gpf icon gpf

Genome Programming Framework(GPF)

hedgehog-lab icon hedgehog-lab

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

htslib icon htslib

C library for high-throughput sequencing data formats. This is not the official repository for htslib.

idepa-xmbd icon idepa-xmbd

IDEPA-XMBD has evaluated five state-of-the-art individual-level DEAs tools through classic computational and functional criteria.

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