Identification of Lung Cancer Related Function Modules Based on Co-Expression Network
نویسندگان
چکیده
منابع مشابه
Systematic Identification of Cell-Wall Related Genes in Populus Based on Analysis of Functional Modules in Co-Expression Network
The identification of novel genes relevant to plant cell wall (PCW) biosynthesis in Populus is a highly important and challenging problem. We surveyed candidate Populus cell wall genes using a non-targeted approach. First, a genome-wide Populus gene co-expression network (PGCN) was constructed using microarray data available in the public domain. Module detection was then performed, followed by...
متن کاملIdentification of candidate genes related to pancreatic cancer based on analysis of gene co-expression and protein-protein interaction network
Pancreatic cancer (PC) is one of the most common causes of cancer mortality worldwide. As the genetic mechanism of this complex disease is not uncovered clearly, identification of related genes of PC is of great significance that could provide new insights into gene function as well as potential therapy targets. In this study, we performed an integrated network method to discover PC candidate g...
متن کاملLung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological diagnosis procedure named Neural Ensemble-based Detection (NED) is proposed, which utilizes an artificial neural network ensemble to identify lung cancer cells in the images of the specimens of needle biopsies obtaine...
متن کاملBioinformatics identification of miRNA-mRNA regulatory network contributing to lung cancer invasion
Background: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. This study is aimed at determining molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biophysics
سال: 2013
ISSN: 2330-1686,2330-1694
DOI: 10.12677/biphy.2013.11003