Giter VIP home page Giter VIP logo

MD Anderson Cancer Center - Dept. of Bioinformatics and Computational Biology's Projects

acluster icon acluster

R package for approximate hierarchical clustering.

batcheffectspackage icon batcheffectspackage

The MBatch R package and Docker image are designed to help assess and correct for batch effects.

dataapi icon dataapi

DataAPI is a project for accesing and viewing the data and analysis (particulary of Batch Effects) of large datasets in Standardized Data format.

genesurvey icon genesurvey

Gene Survey R package - take TCGA Standardized Data and make gene level cross-disease and sometimes cross platform comparisons and evaluations simpler to perform

gsaccess icon gsaccess

The GSAccess application provides a Java link between the data and the Gene Survey R package

ldap-jwt icon ldap-jwt

Lightweight node.js based web service that provides user authentication against LDAP server (Active Directory / Windows network) credentials and returns a JSON Web Token.

mbatch icon mbatch

Superseded by https://github.com/MD-Anderson-Bioinformatics/BatchEffectsPackage

mbatchimage icon mbatchimage

Superseded by https://github.com/MD-Anderson-Bioinformatics/BatchEffectsPackage

metabatchanalyzer icon metabatchanalyzer

Turnkey Docker Stack system for evaluating and visualizing batch effects in metabolomics data, with the ability to download data from Metabolomics Workbench for analysis.

metabatchomicbrowser icon metabatchomicbrowser

Web application for viewing metabolomics batch effects analyses, as seen at https://bioinformatics.mdanderson.org/MOB/

ng-chm icon ng-chm

A dynamic, graphical environment for exploration of clustered or non-clustered heat map data in a web browser.

ngchm-r icon ngchm-r

An R library for creating Next-Generation Clustered Heat Maps (NG-CHM)

pathway-mapper icon pathway-mapper

An interactive and collaborative graphical curation tool for cancer pathways

readmatrixrcpp icon readmatrixrcpp

R package wrapped around C++ used to quickly read very large "platform" level matrices from within a ZIP archive

rppaspace icon rppaspace

Reverse-Phase Protein Array Super Position and Concentration EvaluationThe RPPASPACE R package provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as "tissue lysate arrays" or simply "lysate arrays". The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package called SuperCurve. For a detailed description of data inputs and outputs and usage information see the vignette "Guide_to_RPPASPACE".

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.