This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction
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Updated
Apr 19, 2023 - R
This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction
SPACEGERM shiny app (archived, see GitLab for active fork)
Shared TREM-1 expression signatures of asthma affection and control
add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects
CMap2 Top Coder Data Science Marathon Match
survival of patients using ors on TCGA data
This repository contains the implementation for "Towards Biologically Plausible and Private Gene Expression Data Generation" (accepted at PoPETs 2024)
The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
Predicting the Probability or Occurrence of Relapse for Colorectal Cancer Patients using Gene Expression Data
Simple (effin') Enrichment Analysis in R
A library and toolkit for common representation and analysis of gene expression profile data
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.
Integrative approach to feature selection combining weighted LASSO and prior biological knowldge
NanoString classifier based on NGS training set
orthomap is a python package to extract orthologous maps (in other words the evolutionary age of a given orthologous group) from OrthoFinder/eggNOG results. Orthomap results (gene ages per orthogroup) can be further used to calculate weigthed expression data (transcriptome evolutionary index) from scRNA sequencing objects.
R package for de novo pathway enrichment using KeyPathwayMiner
Arabidopsis EcoGEx (R-📦 + 🕸️-App)
Non-Negative Matrix Factorization for Gene Expression Clustering
SPOT - Swift Profiling Of Transcriptomes - a shiny app for gene ranking according to user-defined expression profiles
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.
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