CMap2 Top Coder Data Science Marathon Match
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Updated
Feb 22, 2017 - C++
CMap2 Top Coder Data Science Marathon Match
NanoString classifier based on NGS training set
A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the glmnet R package.
Non-Negative Matrix Factorization for Gene Expression Clustering
A library and toolkit for common representation and analysis of gene expression profile data
SPACEGERM shiny app (archived, see GitLab for active fork)
Shared TREM-1 expression signatures of asthma affection and control
survival of patients using ors on TCGA data
Arabidopsis EcoGEx (R-📦 + 🕸️-App)
Methods for training and interpreting deep radiogenomic neural networks
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.
SPOT - Swift Profiling Of Transcriptomes - a shiny app for gene ranking according to user-defined expression profiles
Predicting the Probability or Occurrence of Relapse for Colorectal Cancer Patients using Gene Expression Data
Scripts and data from "Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms"
Deep learning methods for feature selection in gene expression autism data.
The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer, and allows users to share regions of interest and local statistics.
Recurrent Variational Auto gene encoder
add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects
Add a description, image, and links to the gene-expression-profiles topic page so that developers can more easily learn about it.
To associate your repository with the gene-expression-profiles topic, visit your repo's landing page and select "manage topics."