Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.
-
Updated
Mar 30, 2017 - Julia
Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.
Downloading and processing pipelines used for single cell gene expression assays of human tumor biopsies
Master thesis on "Microarray data analysis in prediction of breast cancer metastasis" - synced from Overleaf
schematic of gene expression during adult and fetal erythropoiesis
Ensemble of convolutional neural networks for transcriptional classification
Source code for "Molecular mechanisms implicated in myogenic differentiation of human alveolar mucosa derived cells" paper
A basic analysis of the gene expressions in the gravier dataset.
Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach
A gene expression scatter plot analysis tool that also checks category-specific correlations.
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.
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.
Web application to visualise lobster gene expression data
An R package to impute miRNA activity using protein-coding gene expression
Add a description, image, and links to the gene-expression topic page so that developers can more easily learn about it.
To associate your repository with the gene-expression topic, visit your repo's landing page and select "manage topics."