Time course analysis of large-scale gene expression in incised muscle using correspondence analysis-Reference-Cited by-同舟云学术

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Time course analysis of large-scale gene expression in incised muscle using correspondence analysis

Published:2020-03-25 Issue:3 Volume:15 Page:e0230737
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Horita Tetsuya^ORCID,Gaballah Mohammed Hassan^ORCID,Fukuta Mamiko,Kanno Sanae,Kato Hideaki,Takamiya Masataka,Aoki Yasuhiro

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference50 articles.

1. Demands on scientific studies: vitality of wounds and wound age estimation;W Grellner;Forensic Sci Int,2007

2. Simultaneous time course analysis of multiple markers based on DNA microarray in incised wound in skeletal muscle for wound aging;MH Gaballah;Forensic Sci Int,2016

3. Time-Dependent Changes in Local and Serum Levels of Inflammatory Cytokines as Markers for Incised Wound Aging of Skeletal Muscles;MH Gaballah;Tohoku J Exp Med,2018

4. Correspondence analysis applied to microarray data;K Fellenberg;Proc Natl Acad Sci U S A,2001

5. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization;PT Spellman;Mol Biol Cell,1998

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA;Diagnostics;2023-01-20

2. Visualizing adverse events in clinical trials using correspondence analysis with R-package visae;BMC Medical Research Methodology;2021-11-09

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