OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
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Updated
Feb 11, 2026 - R
OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
The autoencoder implementation for the OUTRIDER package
Simple compiler and virtual machine for execution of DPL (Didatic Procedural Language)
Associate outliers with rare variation
Facial expression recognition application that detects faces and classifies emotions from live camera input or uploaded images.
In this study, a dataset of row mRNA-seq counts obtained from Type 2 Diabetes (T2D) patients was analyzed using various statistical and machine learning methods: among these, LDA was chosen as the best performing, and therefore used to obtain a list of significant genes.
A simple template module for evaluating user/runtime-unknown value expressions in a safe manner, using Python's 'eval'.
A softmax regression model to classify images as neutral or smiling by different facial expressions.
OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
R package for tissue enrichment analysis using read-count or FPKM-value matrix
EXIS is an interactive R shiny application for isoform-specific expression analysis.
Volcano Plot for Gene Expression Analysis
A expression analyzer I wrote in the year 2004.
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