morrislab Goto Github PK
Name: Morris Lab
Type: Organization
Bio: Machine learning and adaptive algorithms for computational molecular biology
Location: Toronto, ON
Blog: http://www.morrislab.ca
Name: Morris Lab
Type: Organization
Bio: Machine learning and adaptive algorithms for computational molecular biology
Location: Toronto, ON
Blog: http://www.morrislab.ca
Python scripts that predict RBP binding motifs based on target site accessibility in bound (positive) and unbound (negative) transcripts.
Pipeline for using Pairtree to compare subclone distributions in acute lymphoblastic leukemias between CNS and bone marrow samples. Paper forthcoming.
Pipeline for creating consensus copy-number aberration (CNA) segmentation (breakpoints) for ICGC Pan Cancer Analysis of Whole Genomes project. Used in paper at https://www.biorxiv.org/content/10.1101/312041v5.
Pipeline for evaluating intratumor genetic heterogeneity in colorectal cancer patients. Used in paper at https://www.cell.com/cell/fulltext/S0092-8674(20)31535-X.
Algorithm to integrate network and attribute data for gene function prediction
Machine learning workshop presented at GLBIO 2016
Analysis of TCGA/IMPACT datasets, and mTOR mutation status across cancer types
Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.
Framework for generating simulated data with which to evaluate cancer evolutionary history reconstruction methods. Suitable for use with Pairtree, SubMARine, and other methods.
Application for inferring subclonal composition and evolution from whole-genome sequencing data.
Source code for the juvenile idiopathic arthritis joint patterns paper published in PLOS Medicine, 2019.
RNA-seq Quantification of Alternative Polyadenylation
Data analysis scripts for RNAcompete.
This repository contains the code and data for training the RNAcompete experiment classifier used in Ray et al. 2022
Python package for scanning RNA sequences with sequence and structure PFMs
Generalizing Phylogenetic Posterior Estimator from MCMC samples via subplit Bayesian networks
Data related to the ICGC-TCGA DREAM Somatic Mutation Calling - Tumour Heterogeneity Challenge.
Code for SubMARine.
Simulated data SubMARine was evaluated on.
A framework to infer mutational signatures in cancer over time
R package for TrackSig and TrackSigFreq
Weighted Median subclonal consensus method
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.