zhaoqingbo1993

zhaoqingbo1993's Stars

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  44.6k2.4k010.5k

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.8k1352.3k1.8k

• JWarmenhoven/ISLR-python

  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

  Language:Jupyter Notebook4.2k204152.4k

• YuLab-SMU/clusterProfiler

  :bar_chart: A universal enrichment tool for interpreting omics data

  Language:R1k45635252

• MareesAT/GWA_tutorial

  A comprehensive tutorial about GWAS and PRS

  8142824324

• s-andrews/FastQC

  A quality control analysis tool for high throughput sequencing data

  Language:Java4271312284

• Ming-Lian/NGS-analysis

  二代测序数据分析

  341121160

• xiaolei-lab/rMVP

  :postbox: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool For Genome-Wide Association Study

  Language:R265179769

• ENCODE-DCC/chip-seq-pipeline2

  ENCODE ChIP-seq pipeline

  Language:Python24026175123

• emredjan/ISL-python

  Porting the R code in ISL to python. Labs and exercises

  Language:Jupyter Notebook1895199

• jiabowang/GAPIT

  Genome Association Predict Integrate Tools

  Language:R1641012553

• szpiech/selscan

  Haplotype based scans for selection

  Language:C1111212033

• kundajelab/chipseq_pipeline

  AQUAS TF and histone ChIP-seq pipeline

  Language:Java105404340

• reworkhow/JWAS.jl

  Julia for Whole-genome Analysis Software

  Language:Julia9684644

• hardingnj/xpclr

  Code to compute the XP-CLR statistic to infer natural selection

  Language:Python8639228

• JiangYuLab/CNVcaller

  Language:Perl4121614

• Menggg/BLINK

  BLINK: A Package for Next Level of Genome Wide Association Studies with Both Individuals and Markers in Millions

  Language:C3211010

• kernco/functional-annotation

  Pipeline for functional annotation of genomes by integrating data from RNA-seq, ChIP-seq, DNase-seq, etc.

  Language:Python224510

• KosukeHamazaki/RAINBOWR

  Reliable Association INference By Optimizing Weights with R (R package for SNP-set GWAS and multi-kernel mixed model)

  Language:R223116

• ncchung/jackstraw

  Statistical Inference for Unsupervised Learning

  Language:R14541

• lulab/shared_scripts

  shared scripts in Lu Lab @ Tsinghua University

  Language:R117010

• miguelperezenciso/Simubiome

  Simulation tools to assess microbiome and genome in complex trait prediction

  Language:HTML4101

• SamueleSoraggi/scRNA-tutorial

  Tutorial for the NGS summer course at BiRC (Aarhus University)

  Language:Jupyter Notebook4201

• Rostamabd/Non_additive_simulation_R

  This R-script is a part of simulation code used for our published paper in GSE

  Language:R30

• Rostamabd/Single-and-Multi-trait-IFM-Simulation

  Language:R30

• Rostamabd/Convert-matrix-to-Positive-Definite

  Convert a (co)variance Matrix to the nearest positive definite matrix

  Language:HTML20

• Rostamabd/NGS-Analysis

  Work Flow for NGS Analysis

  20

• Rostamabd/QMSim_genomic_evaluation

  Genomic_evaluation with QMSim using external file

  Language:R22

• Rostamabd/Random-Regression-Analysis

  Generating Legendre Polynomials coefficients and computing the Breeding Values based on Test-day Milk data in dairy cattle

  Language:R20

• biointec/scoping

  Preserving genetic variation in a breeding population for long-term benefits

  Language:R120