Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Apr 26;13:6821. doi: 10.1038/s41598-023-32293-1

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

AI Sparse Modeling was more effective than non-AI tools for pathway/gene set enrichment analysis of cardiomyocyte scRNAseq data from mouse hearts. (A) Sparse model scores for each cell-cycle phase and for the activity of the MAPK, HIPPO, cAMP, JAK-STAT, and RAS signaling pathways were summarized for cardiomyocytes from the indicated injury groups and time points and presented as violin plots. Statistical comparison between the P1-MI-D1/D3 (regenerative) and P8-MI-D1/D3 (non-regenerative), also between P2-Sham and P11-Sham, were done by non-parametric tests; *p-value < 0.01. (B) Cardiomyocytes from the P1-MI-D3 and P8-MI-D3 groups were scored for cell-cycle phase and pathway activity via AI Sparse Modeling, Wilcoxon Ranksum test, MAST, Negative Binomial (NegBino) test, Singleseqset, and ssGSEAP; then, the scores generated by each technique were compared between time points, and the P-values for each comparison was presented as a heat-map.