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Name: Eric Minwei Liu
Type: User
Company: Memorial Sloan Kettering Cancer Center
Bio: Postdoc at MSKCC studying cancer systems biology.
Location: New York City
Blog: https://ericmliu.com/
Name: Eric Minwei Liu
Type: User
Company: Memorial Sloan Kettering Cancer Center
Bio: Postdoc at MSKCC studying cancer systems biology.
Location: New York City
Blog: https://ericmliu.com/
Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"
academic writing
Adaptive Daisy Model to discriminate core-fitness/context-specific essential genes in large scale CRISPR-Cas9 screens
scripts for plots
A curated list of community detection research papers with implementations.
Awesome Domain Generalization for Computational Pathology
A curated list of foundation models for vision and language tasks in medical imaging
A collection of important graph embedding, classification and representation learning papers with implementations.
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
A curated list of awesome machine learning interpretability resources.
Awesome List of Masked Image Modeling (MIM) Papers for Self-supervised Visual Representation Learning
List of software packages for multi-omics analysis
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
BayesTME: A reference-free Bayesian method for analyzing spatial transcriptomics data
In this study, we perform systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarScan2, on both simulated and real single-cell RNA-seq datasets. We evaluate the performances of these tools in different read depths, genomic contexts, functional regions and variant allele frequencies.
collection of biological network analysis methods
A list of useful bioinformatics resources
R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells.
An R toolkit for estimation of cell composition from bulk expression data
Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028 See also http://www.ioexplorer.org for interactive visuallization
collections of bulk rna-seq papers
collections of cancer subtype clustering methods
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.