Proceedings of the 2016 International Conference on Biomedical and Biological Engineering

Network Analysis Reveals the Connection Between Chronic Pancreatitis and Pancreatic Cancer

Authors
Lisha Li, Heping Wang, Yulin Li
Corresponding Author
Lisha Li
Available Online July 2016.
DOI
10.2991/bbe-16.2016.59How to use a DOI?
Keywords
Transcriptome, Chronic Pancreatitis, Pancreatic Cancer, Network Analysis.
Abstract

The relationship between chronic pancreatitis and pancreatic cancer needs further exploration in a system view. We constructed chronic pancreatitis and pancreatic cancer network based on gene expression data and protein-protein interaction, and then analyzed the global topological features of chronic pancreatitis and pancreatic cancer genes. Transcriptome profiling-based network analysis reveals the importance of chronic pancreatitis genes in pancreatic cancer by computational method.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Biomedical and Biological Engineering
Series
Advances in Biological Sciences Research
Publication Date
July 2016
ISBN
978-94-6252-216-9
ISSN
2468-5747
DOI
10.2991/bbe-16.2016.59How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lisha Li
AU  - Heping Wang
AU  - Yulin Li
PY  - 2016/07
DA  - 2016/07
TI  - Network Analysis Reveals the Connection Between Chronic Pancreatitis and Pancreatic Cancer
BT  - Proceedings of the 2016 International Conference on Biomedical and Biological Engineering
PB  - Atlantis Press
SP  - 386
EP  - 390
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-16.2016.59
DO  - 10.2991/bbe-16.2016.59
ID  - Li2016/07
ER  -