geneexpression

benfulcher/mouseGradients

Code to reproduce analyses of mouse cortical gradients

havelhakimi/gene-expression

Agglomerative based clustering on gene expression dataset

benfulcher/AllenSDK

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

romunov/peep

Fit your oversized data.frame to your console width.

nikitasigal/biclustlib

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

LoaloaF/DPre

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.

NKI-GCF/gensum

RNA-seq reads to gene counts

rahul-root07/Cancer-classification-TCGA

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

DanishAslam7/GenExp

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

dBenedek/MetabolicExpressR

Metabolic subtyping of tumors from gene expression data

mitumh3/GEO-dataprocess-streamlit

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

atsumiando/RNAseq_figure_plotter_python

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

georgeluan49/Gaston-Day-Dry-Lab-2020

kalyaniuniversity/mgx-datasets

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

krause-lab/predictsamplesize

Predict the samplesizes for certain errorrates for statistical classifiers

AGarciaMora/CocoTF

CocoTF: a workflow to identify context specific co-occurring TF motifs using bedtools, Homer and R packages.

atsumiando/RNAseq_figure_plotter

Require just one command line! Generate nine common plots from RNAseq result table by R.

Hazperera/Gene_Expression_Analysis

Differential expression analysis using R :dna:

hugojal/snRNA_DMD_biomarker

This project was conducted for the Stanford BioHacks hackathon.

igarcia17/zebraFishTranscriptome

Shiny app that recopilates all gene expression of zebra fish and informs about the tissue and developmental stage in which the gene is expressed.

MeghanaDutta/Smokers_Gene_Expression_Analysis_Workflow

A workflow to understand the changes in expression levels of epithelial cells in smokers.

smruthishree/GenePlotter-A-dashboard-for-visualizing-gene-expression-in-various-datasets

SUGAM2001/DESeq2-Python-Example

This repository contains an example implementation of DESeq2 in Python.

SUGAM2001/GEO-data-analysis

This repo contains the differential expression analysis .

thisisyichenzhang/COMET

Implementation code for evaluating COMET approach on various simulation datasets

ziching18/HRD200

HRD200: Machine learning model to predict patient HRD status using gene expression data

ashleyzhou972/MRF

migrated from Gitlab

Fattigman/SRIQ

Implementation of SRIQ clustering

Hazperera/haz-Msc-IMIDIA_GE

PCA: Exploring transcriptome-wide changes using python (pandas/scikit-learn/matplotlib) :dna: :computer: :woman_scientist: :desktop_computer:

Qaswara98/Thesis_PCA_vs_AE

This project is a comparative study of Autoencoder (AE) and Principal Component Analysis (PCA) for dimensionality reduction in gene expression data. It aims to understand the unique capabilities and applications of both methods in handling high-dimensional biological data.

silviozambonunitn/OneGenE_FANTOM

Repository of my internship in the RDDS lab of the University of Trento