mingjutsai's Stars
biomap-research/scFoundation
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3308 LeetCode Problems (Weekly Update)
theislab/single-cell-transformer-papers
nf-core/sarek
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
YosefLab/scib-metrics
Accelerated, Python-only, single-cell integration benchmarking metrics
OmicsML/awesome-deep-learning-single-cell-papers
scverse/rapids_singlecell
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
mingjutsai/SPIKES
We propose a spike protein predictor SPIKES incorporating with an inheritable bi-objective combinatorial genetic algorithm to identify the biochemical properties of spike proteins and determine their specificity to human hosts.
mamba-org/mamba
The Fast Cross-Platform Package Manager
mousepixels/sanbomics_scripts
scripts and notebooks from sanbomics
bowang-lab/scGPT
JackieHanLab/TOSICA
Transformer for One-Stop Interpretable Cell-type Annotation
scverse/scanpy
Single-cell analysis in Python. Scales to >1M cells.
satijalab/seurat
R toolkit for single cell genomics
phageghost/python-genome-browser
Tools for making plots of genomic datasets in a genome-browser-like format
NctuICLab/GREMA
GREMA: Modelling of emulated gene regulatory networks with confidence levels based on evolutionary intelligence to cope with the underdetermined problem
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
pycaret/pycaret
An open-source, low-code machine learning library in Python
zqfang/GSEApy
Gene Set Enrichment Analysis in Python
TRON-Bioinformatics/tronflow-mutect2
Nextflow pipeline for Mutect2 somatic variant calling best practices
yihsianghsulab/ELX
An Empirical Two-Stage Combinatorial Approach to Identify Pleiotropic Genetic Effects by using Genome-Wide Association Summary Statistics
bioinform/somaticseq
An ensemble approach to accurately detect somatic mutations using SomaticSeq
yupenghe/methylpy
WGBS/NOMe-seq Data Processing & Differential Methylation Analysis
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
urmi-21/COVID-19-RNA-Seq-datasets
A repository for sharing information on available COVID-19 RNA-Seq datasets
Illumina/DRAGMAP
DRAGEN open-source mapper
daler/chromhmm-tools
Helpers for working with ChromHMM (http://compbio.mit.edu/ChromHMM/)
jimmyyhwu/deepsea
DeepSEA in TensorFlow
weng-lab/BENGI