FrederickHuangLin

ohmyzsh

🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

Python-100-Days

Python - 100天从新手到大师

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pysheeet

Python Cheat Sheet

DeDRM_tools

DeDRM tools for ebooks

learn-python3

Jupyter notebooks for teaching/learning Python 3

line_profiler

Line-by-line profiling for Python

usethis

Set up commonly used 📦 components

phyloseq

phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

microbiome

microbiome R package

SpiecEasi

Sparse InversE Covariance estimation for Ecological Association and Statistical Inference

docopt-ng

Humane command line arguments parser. Now with maintenance, typehints, and complete test coverage.

NetCoMi

Network construction, analysis, and comparison for microbial compositional data

Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng on Coursera.

mmvec

Neural networks for microbe-metabolite interaction analysis

metagenomeSeq

Statistical analysis for sparse high-throughput sequencing

songbird

Vanilla regression methods for microbiome differential abundance analysis

ili

Web-based software for visualization of molecular maps in 2D and 3D

multiomic-cooccurrences

catvae

Categorical Variational Autoencoders

reference-frames

SNFtool

:exclamation: This is a read-only mirror of the CRAN R package repository. SNFtool — Similarity Network Fusion

nlcor

An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptively identifying multiple local regions of linear correlations to estimate the overall nonlinear correlation. The nonlinear correlations estimate has various applications in data exploration and variable selection for nonlinear models.

RobustSparseCorrelation

This is the R implementation of a robust correlation matrix estimator usefull in case of high-dimensional data to remove the bias. It also implement an adaptive thresholding technique based on cross validation tecnique to regularize the correlation matrix.

LOCOM-Archive

A logistic regression model for testing differential abundance in compositional microbiome data

Wrench

Compositional correction and normalization for sparse, under-sampled count data

birdman-analyses

q2-composition

iv-analysis

micro-stats-bench

A collection of simulated and real benchmarks for microbiome methodological tutorials and benhcmarks