kplaney

cmonkey

cMonkey integrated biclustering algorithm - official

Coates_unsupervised-codes

Adam Coates's code for single-layer networks in unsupervised learning

CoINcIDE

repo for a network meta-clustering method I developed as part of my dissertation, CoINcIDE (Clustering Intra and Inter DatasEts). All code used to for analyses and figures in my dissertation also resides here. See README.md for more details and contact info. Dissertation link followed by publication link: http://purl.stanford.edu/zw234xf4051

Core_GUI_Routines

Core GUI Routines for various Matlab GUIs

Core_Routines

curatedBreastCancer

15 studies encompassing 24 different datasets (matrices) from GEO breast cancer gene expression experiments. Treatment information and outcomes data is also curated for each patient (datasets were carefully chosen based upon whether I could determine each sample/patient's treatment regimen, and whether the samples had at least one outcomes variable measured.) This totals over 2700 samples all together from large-scale studies and clinical trials. These datasets are available as an R package, curatedBreastData.

cy-rest-R

Example R script to use Cytoscape via RESTful API module.

DICOMAT

Create Matlab Series Files from DICOM Datasets

docker-brew-ubuntu-core

Official imports of the Ubuntu Core tarballs for use in Docker

docs

Documentation for Docker Official Images in docker-library

kplaney/CoINcIDE

repo for a network meta-clustering method I developed as part of my dissertation, CoINcIDE (Clustering Intra and Inter DatasEts). All code used to for analyses and figures in my dissertation also resides here. See README.md for more details and contact info. Dissertation link followed by publication link: http://purl.stanford.edu/zw234xf4051

kplaney/DICOMAT

Create Matlab Series Files from DICOM Datasets

kplaney/curatedBreastCancer

15 studies encompassing 24 different datasets (matrices) from GEO breast cancer gene expression experiments. Treatment information and outcomes data is also curated for each patient (datasets were carefully chosen based upon whether I could determine each sample/patient's treatment regimen, and whether the samples had at least one outcomes variable measured.) This totals over 2700 samples all together from large-scale studies and clinical trials. These datasets are available as an R package, curatedBreastData.

kplaney/Coates_unsupervised-codes

Adam Coates's code for single-layer networks in unsupervised learning

kplaney/Core_GUI_Routines

Core GUI Routines for various Matlab GUIs

kplaney/Core_Routines

kplaney/cmonkey

cMonkey integrated biclustering algorithm - official

kplaney/cy-rest-R

Example R script to use Cytoscape via RESTful API module.

kplaney/docker-brew-ubuntu-core

Official imports of the Ubuntu Core tarballs for use in Docker

kplaney/docs

Documentation for Docker Official Images in docker-library

kplaney/kplaney.github.io

kplaney/kplaney.github.io-src

Code for a blog I've been meaning to make..

kplaney/LearningScalaMaterials

Supplementary materials for the "Learning Scala" book from O'Reilly Media

kplaney/SCPD-Scraper

Downloads class videos, converts them to iphone format

kplaney/thesis

kplaney/udemy_deep_learning

My code (warning - possibly not very clean) pertaining to some Udemy Python and Deep Learning courses I'm doing in my spare time.

kplaney/usethis

Automatically Set Up Commonly Used Package and Analysis Components

kplaney/wid.demo

Map/Reduce with R, demo for Women In Data 22 Aug 2013