pcbi.1011919.s008.xlsx (9.16 kB)

RIPTiDe models after integration with metabolomics and transcriptomics data.

Name: RIPTiDe models after integration with metabolomics and transcriptomics data.
Published: 2024-02-29T18:53:56+00:00
License: https://creativecommons.org/licenses/by/4.0/
Keywords: term side effects, standard gene enrichment, metabolomics approaches identify, commonly affected pathways, metabolomics data characterizing, present paired transcriptomics, div >< p, unique metabolic reactions, metabolomics data integrated, paired data, metabolic reactions, metabolic demand, vitro </, rna synthesis, revealed long, phospholipid metabolism, p53 pathway, find evidence, computational model

dataset

posted on 2024-02-29, 18:53 authored by Bonnie V. Dougherty, Connor J. Moore, Kristopher D. Rawls, Matthew L. Jenior, Bryan Chun, Sarbajeet Nagdas, Jeffrey J. Saucerman, Glynis L. Kolling, Anders Wallqvist, Jason A. Papin

The number of reactions included in each model and the p-value for the Spearman correlation between reaction flux and transcript abundance.

(XLSX)

RIPTiDe models after integration with metabolomics and transcriptomics data.

History

Usage metrics

Categories

Keywords

Licence

Exports