@inproceedings{c763f5df629645bdb54689028860da1b,
title = "Comparative analysis of 3D-culture system for murine neonatal heart regeneration: A systematic approach for big gene expression data",
abstract = "Cardiovascular diseases are the leading cause of death worldwide. Loss or dysfunction of cardiomyocytes is associated with many forms of heart disease. The adult mammalian heart has a limited regenerative ability after damage, leading to the formation of fibrotic scar tissues, hypertrophy, contractile dysfunction and ultimately, organ failure. In contrast, neonatal mammalian cardiomyocytes retain a significant replenishing potential briefly after birth. There is increasing enthusiasm to grow neonatal cardiomyocytes in 3D culture systems to artificially restore heart function. Various scaffolds and matrices are available, but the molecular and cellular mechanisms underlying proliferation and differentiation of neonatal mammalian cardiomyocytes are not very well understood. Here, we utilize a systematic strategy to analyze the extensive genome-scale gene expression profiles of two different 3D constructs. We present a comprehensive comparison that may help improve the protocols for growing cardiomyocytes in a 3D culture system.",
keywords = "3-D culture system, Bioinformatics, Cardiomyocytes, Gene expression, Regeneration",
author = "Weng, {Julia Tzu Ya} and Chen, {Yi Cheng} and Chang, {Pei Chann} and Huang, {Shin Ping} and Chiu, {Yu Wei}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014 ; Conference date: 13-05-2014 Through 16-05-2014",
year = "2014",
doi = "10.1007/978-3-319-13186-3_67",
language = "???core.languages.en_GB???",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "754--764",
editor = "Wen-Chih Peng and Haixun Wang and Zhi-Hua Zhou and Ho, {Tu Bao} and Tseng, {Vincent S.} and Chen, {Arbee L.P.} and James Bailey",
booktitle = "Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops",
}
