There are 0 repository under geneexpression topic.
Code to reproduce analyses of mouse cortical gradients
An R-shiny package to analyse and visualise fungal gene expression data
Workflow for retrieving spatial gene-expression data from the Allen Institute's Mouse Brain Atlas
Agglomerative based clustering on gene expression dataset
A biclustering library with datasets, evaluation measures and a benchmarking framework
The Cancer Genome Atlas datbase | Cancer Classification | Deep Learning | CNN
An interactive Streamlit app for processing and visualizing GEO data from NCBI's Gene Expression Omnibus.
Require one command line! Generate nine common RNAseq figures from RNAseq result table by python.
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
A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.
Predict the samplesizes for certain errorrates for statistical classifiers
CocoTF: a workflow to identify context specific co-occurring TF motifs using bedtools, Homer and R packages.
Require just one command line! Generate nine common plots from RNAseq result table by R.
Differential expression analysis using R :dna:
Shiny app that recopilates all gene expression of zebra fish and informs about the tissue and developmental stage in which the gene is expressed.
A workflow to understand the changes in expression levels of epithelial cells in smokers.
Implementation code for evaluating COMET approach on various simulation datasets
PCA: Exploring transcriptome-wide changes using python (pandas/scikit-learn/matplotlib) :dna: :computer: :woman_scientist: :desktop_computer:
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.
Repository of my internship in the RDDS lab of the University of Trento