scholarly journals Integrated Analysis of miRNA and Gene Networks on Cancer Expression Data

Author(s):  
Yuping LI ◽  
Wei DU ◽  
Lihua HE ◽  
Zhongbo CAO ◽  
Yanchun LIANG
2018 ◽  
Vol 9 ◽  
Author(s):  
Giulia Malacarne ◽  
Stefania Pilati ◽  
Samuel Valentini ◽  
Francesco Asnicar ◽  
Marco Moretto ◽  
...  

Author(s):  
Crescenzio Gallo

The possible applications of modeling and simulation in the field of bioinformatics are very extensive, ranging from understanding basic metabolic paths to exploring genetic variability. Experimental results carried out with DNA microarrays allow researchers to measure expression levels for thousands of genes simultaneously, across different conditions and over time. A key step in the analysis of gene expression data is the detection of groups of genes that manifest similar expression patterns. In this chapter, the authors examine various methods for analyzing gene expression data, addressing the important topics of (1) selecting the most differentially expressed genes, (2) grouping them by means of their relationships, and (3) classifying samples based on gene expressions.


Gut ◽  
2011 ◽  
Vol 60 (Suppl 1) ◽  
pp. A174-A174
Author(s):  
X. Y. Goh ◽  
M. A. Alvi ◽  
J. Rees ◽  
S. F. Chin ◽  
J. Weaver ◽  
...  

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