raphael-group Goto Github PK
Type: Organization
Type: Organization
An algorithm for clonal tree reconstruction from multi-sample cancer sequencing data
Algorithms for Reconstructing Cancer Histories
Bayesian nonparametric machine learning for Python
CALDER (Cancer Analysis of Longitudinal Data through Evolutionary Reconstruction) reconstructs evolutionary trees from longitudinal bulk DNA sequencing data
Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics
CHISEL -- Copy-number Haplotype Inference in Single-cell by Evolutionary Links
CHISEL-DATA -- This is a preliminary repository
Script for taking the output of the GISTIC2.0 module and converting the data for use with MAGI, HotNet2, and CoMEt.
Integer Linear Program for the Copy-Number Tree Problem
Software for inferring the copy-number profiles of tumor clones and their evolution from fractional copy numbers obtained from multi-sample bulk sequencing data.
CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
DeCiFer is an algorithm that simultaneously selects mutation multiplicities and clusters SNVs by their corresponding descendant cell fractions (DCF).
Input data and results
Developmental Spatiotemporal Optimal Transport
Javascript library for visualizing genomics data with D3.
HATCHet (Holistic Allele-specific Tumor Copy-number Heterogeneity) is an algorithm that infers allele and clone-specific CNAs and WGDs jointly across multiple tumor samples from the same patient, and that leverages the relationships between clones in these samples.
Related to (Zaccaria and Raphael, 2018), the repository contains the simulated data, the results of all methods involved in the comparison, the results of HATCHet on the prostate and pancreas cancer datasets, and all data and analysis related to these last two cancer datasets.
Publication repository for results that accompany the HATCHet2 paper.
Snakemake pipeline for generating and running on new simulated data for HATCHet2 revisions
Single species module discovery
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.