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Updated: Jul 19, 2025

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform

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Published on: January 13, 2019

MousiPLIER: A Mouse Pathway-Level Information Extractor Model.

Shuo Zhang^1,2, Benjamin J Heil³, Weiguang Mao⁴

¹Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.

Biorxiv : the Preprint Server for Biology

|August 14, 2023

Summary

This summary is machine-generated.

We developed mousiPLER, a machine learning tool trained on extensive mouse brain data. This tool simplifies gene expression analysis, revealing biological pathways and aiding aging research.

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Last Updated: Jul 19, 2025

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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

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Published on: August 16, 2017

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

High-throughput gene expression profiling generates vast data, posing challenges in pathway inference and hypothesis generation.
Machine learning integrating biological knowledge is crucial for interpreting complex gene expression datasets.

Conclusions:

mousiPLER provides a powerful, data-driven approach to uncover meaningful biological processes in mouse transcriptomic studies.
The developed web server facilitates user-friendly exploration of learned latent variables, supporting hypothesis generation.
This study validates the utility of mousiPLER for advancing research in mouse neurobiology and aging.