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Name: Le Yang
Type: User
Bio: Postdoc Associate in University at Buffalo ORCID 0000-0002-9750-5691
Location: Buffalo, New York
Name: Le Yang
Type: User
Bio: Postdoc Associate in University at Buffalo ORCID 0000-0002-9750-5691
Location: Buffalo, New York
Code for reproducing the analysis in Gavish et al. "The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors".
A large scale non-linear optimization library
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal sequencing data.
Nextflow Pipeline for the analysis of Double Progressive Alignment (DPA)
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
A method for identifying significantly mutated subnetworks in human diseases
Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python scripts to find enrichment of GO terms
SIGMOD 2024 paper titled "Efficient High-Quality Clustering for Large Bipartite Graphs"
Code to accompany the paper "Local Algorithms for Finding Densely Connected Clusters", published at ICML 2021.
Python implementation of Efron, Turnbull, and Narasimhan's R function locfdr v1.1-7, which computes local false discovery rates. See http://cran.r-project.org/web/packages/locfdr/ for more information.
An algorithm to detect significantly disrupted subnetwork using multiplex networks.
An implementation for personalized PCA
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
Newton and Quasi-Newton optimization with PyTorch
Quadratic Programming solvers in Python with a unified API
Simplistic RBM and DP
scRNAseq analysis notes from Ming Tang
a python package for KEGG pathway enrichment analysis with multiple gene lists.
Stochastic Nonlinear Least-Squares for Large-Scale Machine Learning
Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**
A simplified version of pylearn2
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.