mingjutsai
Follow
Stars
R package for detecting doublets in single-cell RNA sequencing data
🏋️ Python / Modern C++ Solutions of All 3450 LeetCode Problems (Weekly Update)
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Accelerated, Python-only, single-cell integration benchmarking metrics
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
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 the…
scripts and notebooks from sanbomics
Transformer for One-Stop Interpretable Cell-type Annotation
Single-cell analysis in Python. Scales to >1M cells.
Tools for making plots of genomic datasets in a genome-browser-like format
GREMA: Modelling of emulated gene regulatory networks with confidence levels based on evolutionary intelligence to cope with the underdetermined problem
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.
An open-source, low-code machine learning library in Python
Nextflow pipeline for Mutect2 somatic variant calling best practices
An Empirical Two-Stage Combinatorial Approach to Identify Pleiotropic Genetic Effects by using Genome-Wide Association Summary Statistics
An ensemble approach to accurately detect somatic mutations using SomaticSeq
WGBS/NOMe-seq Data Processing & Differential Methylation Analysis
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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 comp…
A repository for sharing information on available COVID-19 RNA-Seq datasets
Helpers for working with ChromHMM (http://compbio.mit.edu/ChromHMM/)