meijian Goto Github PK
Name: Meijian Guan
Type: User
Bio: Translational Data Scientist
Name: Meijian Guan
Type: User
Bio: Translational Data Scientist
Code base for performing covariate adjustments and differential expression analysis of the RNAseq data from AMP-AD.
AUCell: score single cells with gene regulatory networks
Bagging Ensemble Deep Segmentation for Nucleus Segmentation with Testing Stage Stain Augmentation
Barnes-Hut t-SNE
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
An implementation of Consensus clustering in Python
A web interface to help student register account and select courses.
Google DeepLab V3 for Image Semantic Segmentation
Classification of Lung cancer slide images using deep-learning
Differential gene expression analysis based on the negative binomial distribution
Diverse Cluster Ensemble in R
A project to process free-text clinical reports with NLP and machine learning
Enhanced version of the FastQTL QTL mapper
Create "haplotype maps" of variants in order to use with Picardtools Crosscheck_Files utility, which allows for robust genotyping of functional genomic data.
The objective of this study is to develop a GA-based approach, utilizing a feedback linkage between feature selection and classification.
Create LocusZoom-style plots in R.
Code and data resources accompanying Urbut et al (2017), "Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions."
Train a model to predict gene expression from histology slides.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Analyses and code associated with https://doi.org/10.1038/s41591-021-01520-5
R package for integrating and analyzing multiple single-cell datasets
Mixed models @lme4 + custom covariances + parameter constraints
An R package for multivariate adaptive shrinkage.
Metacells - Single-cell RNA Sequencing Analysis
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.