rededsky's Stars
michaelliao/learn-python3
Learn Python 3 Sample Code
yhat/rodeo
A data science IDE for Python
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
z3tt/TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
YongxinLiu/MicrobiomeStatPlot
Interpretation and visualization of microbiome charts
kevinblighe/PCAtools
PCAtools: everything Principal Components Analysis
syaning/zhihu-api
Unofficial API for zhihu.
halhen/viz-pub
A place to publish data-vizes
ChiLiubio/microeco
An R package for data analysis in microbial community ecology
lyao222lll/sheng-xin-xiao-bai-yu
历史文档备份(只包含2019年和2020年)
nladuo/taobao_bra_crawler
a taobao web crawler just for fun.
nrennie/tidytuesday
This repository contains the R code used to produce my visualisations for the #TidyTuesday challenges.
cytoscape/py2cytoscape
Python utilities for Cytoscape and Cytoscape.js
biocore/emp
Code repository of the Earth Microbiome Project.
YuLab-SMU/treedata-book
:books: a complete reference book for treeio, tidytree and ggtree packages
HenrikBengtsson/R.matlab
R package: R.matlab
gastonstat/arcdiagram
R package arcdiagram
lch14forever/microbiomeViz
Visualize microbiome data with black magic ggtree
linhesun/bilibiliRlearning
Use it with the bilibili vedios.
Plant-Root-Soil-Interactions-Modelling/CPlantBox
jingwanglab/Populus_genomic_prediction_climate_vulnerability
gastonstat/tutorial-R-web-data
Introduction to getting data from the web with R
defleury/Schmidt_et_al_2016_community_similarity
Analysis code for a manuscript on community similarity computation
bufubaoni/SimpleSpider
MaShisongLab/explicit
A tool to infer TF regulators for gene modules.
Rmomal/EMtree
Infers species direct association networks
ucb-introstat/introstat-spring-2019
Course materials for Stat 131A, Spring 2019, at UC Berkeley
sua474/winnowing-pipeline-merged
winnowing project pipeline
TheoreticalEcosystemEcology/coocNotInteract
:book: Blanchet, Cazelles and Gravel (2020) DOI:10.1111/ele.13525 - Research compendium
hwei0805/HB-PLS
This is a package that integrates Huber loss, berhu penalty, and partial least squares for identifying pathway regulators from transcriptomic data