ckmah Goto Github PK
Name: Clarence Mah
Type: User
Twitter: mah_clarence
Location: California, United States
Blog: https://clarencemah.me/
Clarence Mah's Projects
archer2018_g3_cohort_expansion
archer2018_shh_cohort_expansion
ashlar
ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration
awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
bayesian-classifier-gp-notebook
GenePattern Notebook outlining a workflow for training and using a bayesian classifier.
bento-kitchen
Sandbox for bento analysis and spatial datasets
bento-manuscript
Analyses to reproduce figures in the Bento manuscript.
bento-tools
A Python toolkit for subcellular analysis of spatial transcriptomics data
binf-faculty-browser
bisb-bootcamp-2020
FA2020 Bootcamp course website for the incoming cohort of the Bioinformatics & Systems Biology Ph.D. program
bisb-bootcamp-2021
FA2021 Bootcamp course website for the incoming cohort of the Bioinformatics & Systems Biology Ph.D. program
blog-hugo
hosts mragsac.github.io content created with Hugo
bmes_ucsd_edu
Official Website for the Biomedical Engineering Society of UC San Diego
bmes_website_v3
Revamped official website of BMES at UCSD.
carter-lab-site
ccal
Computational Cancer Analysis Library
ccal-1
Library for hunting cancers :crab::gun:
cell2cell
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
ckmah.github.io
Clarence Mah's personal website.
cmm262-2020
Quantitative Methods in Genetics and Genomics Course 2020
cmm262-notebook
corne-lp-zmk-config
coursera
Code snippets for some coursera courses
coursera-machine-learning
The Coursera Machine Learning course: https://www.coursera.org/learn/machine-learning/
dangoreader
A clean & modern app for reading manga.
dotfiles
My dotfiles.
fat
R Shiny server code for docker image found at https://hub.docker.com/r/ckmah/fat/.
fithic
Fit-Hi-C is a tool for assigning statistical confidence estimates to chromosomal contact maps produced by genome-wide genome architecture assays such as Hi-C.
flotilla
Reproducible machine learning analysis of gene expression and alternative splicing data
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