Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.

Gene expression experiments using Python and R

Homework Machine Learning

An R package to create gene expression atlases from bulk RNA-seq data on NCBI SRA

🐳 Docker image for CirComPara

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

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.

Set of small R scripts helpful in various bioinformatics projects

Github webpage

Gene expression responses of wildlife hosts to pathogen exposure

Generate expression matrix from microarray data derived from BXD liver

Implementation of algorithms for simulating gene expression and translation in order to investigate about NF-kB model in colon cancer cells.

Selection of genes to be cultured and studied on-board for the AcubeSAT nanosatellite project. Microarray data analysis in R. Meta-analysis in R. Literature review and more

Statistical data analysis of microarray data of Pyrococcus Furiosus exposed to gamma irradiation.

Web application to visualise lobster gene expression data

A comprehensive analysis of gene expression data using machine learning techniques in Python and R, focusing on predictive modeling and data visualization

RNA-Seq Pipeline for processing paired-end FASTQ transcripts generated from Illumina sequencing. The pipeline trims adapter sequences, aligns transcripts to a specified region of interest on the reference genome, and facilitates downstream analysis.

Code for the ExpectoSC model