geneexpression

R package for visualising high-dimensional categorical data. Fully ggplot compatible implementation for the diceplot plotting library

An R-shiny package to analyse and visualise fungal gene expression data

Code to reproduce analyses of mouse cortical gradients

Agglomerative based clustering on gene expression dataset

Workflow for retrieving spatial gene-expression data from the Allen Institute's Mouse Brain Atlas

A biclustering library with datasets, evaluation measures and a benchmarking framework

Fit your oversized data.frame to your console width.

RNA-seq reads to gene counts

An interactive Streamlit app for processing and visualizing GEO data from NCBI's Gene Expression Omnibus.

DPre is a bioinformatic tool that enables the user to explore cell type conversion/ differentiation experiments. DPre may take the expression or the differentially regulated genes of the samples to rate transcriptional similarity with a reference dataset, the targets.

The Cancer Genome Atlas datbase | Cancer Classification | Deep Learning | CNN

This is the R code to extract Gene Expression Profiles of particular genes from GEO (Gene Expression Omnibus) datasets.

Metabolic subtyping of tumors from gene expression data

gene ID conversion; Prepare Differential Expression Results for ORA and GSEA

Supervised Machine Learning for Gene Expression Analysis

Require one command line! Generate nine common RNAseq figures from RNAseq result table by python.

Predict the samplesizes for certain errorrates for statistical classifiers

R package for accurate, efficiency-corrected quantification of original DNA template with qPCR

A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.

This repo will contain my RNA-Seq Analysis practice files. Mainly Markdowns, Scripts and any related data.