nine-sarayut Goto Github PK
Name: Sarayut "Nine" Winuthayanon
Type: User
Company: University of Missouri
Bio: Sarayut "Nine" Winuthayanon, M. Eng. Software Engineer Bioinformatics and Analytics Core University of Missouri
Location: Columbia
Name: Sarayut "Nine" Winuthayanon
Type: User
Company: University of Missouri
Bio: Sarayut "Nine" Winuthayanon, M. Eng. Software Engineer Bioinformatics and Analytics Core University of Missouri
Location: Columbia
scripts and notebooks from sanbomics
The R package scCODE, a platform for data-specific DE gene detection for scRNA-seq data
Additional code and analysis from the single-cell integration benchmarking project
Accurate and robust imputation of scRNA-seq data
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
collected resource for scRNA-seq analysis
Analysis of single cell RNA-seq data course
scRNAseq analysis notes from Ming Tang
Deep probabilistic analysis of single-cell omics data
Notebooks used in scvi-tools tutorials
sdcMicro
Rapid analysis and visualisation for bulk RNA-seq, psuedo-bulk RNA-seq, GeoMx and Proteomic datasets.
R toolkit for single cell genomics
This script is a modified script from the Seurat Intergration vignette. Adding certain extra features such as merge, split and subset to allow this script to run on older machines with less Ram
My personal Shiny server
Shiny support for powerful Semantic UI library.
a collection of shiny app demonstrations :bar_chart:
Shiny Interactive Web Apps for Single-Cell Data
Shiny Ldap Login Client
A guide for analyzing single-cell RNA-seq data using the R package Seurat. Go from raw data to cell clustering, identifying cell types, custom visualizations, and group-wise analysis of tumor infiltrating immune cells using data from Ishizuka et al. Nature 2019.
SIB course on single cell transcriptomics by mostly using the Seurat pipeline
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Single Cell multimodal data scripts for downloading datasets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.