China
Africa
Explore chapters and articles related to this topic
Graphical Models in Genetics, Genomics, and Metagenomics
Published in Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin Wainwright, Handbook of Graphical Models, 2018
As introduced in the preceding Chapter , a biological network consists of a collection of biomolecules and their interactions that correspond to various cellular functional relationships, and is often represented as a graph with directed and/or undirected edges. Throughout the chapter, the word ‘interaction’ is used to denote the presence of an edge between two nodes, which may be directed or undirected and defined experimentally or statistically depending on the context. Examples of important biological networks include gene regulatory networks, whose directed edges represent activation or repression relationships between genes; protein-protein interaction networks, whose nodes are proteins linked together by physical binding events; metabolic networks, whose nodes are metabolites and edges reflect the chemical reactions of metabolism. Other useful networks are gene co-expression networks [49], which are phenotypic networks in which genes are linked if they share similar co-expression patterns.
Ensemble based biomarker identification on pancreatic ductal adenocarcinoma gene expressions
Published in International Journal of Computers and Applications, 2021
Purbanka Pahari, Piyali Basak, Anasua Sarkar
Another impulse for this investigation originates from the important to set up the etiology of PDAC. They construct a weighted gene co-expression network [5] and identified modules of coexpressed genes distinguishing normal from disease conditions. Using WGCNA, they identify several key genes that may play important roles in PDAC. The improvement of pancreatic disease has been owing to the overexpression of a few oncogenes for example, KRAS [6], HIF-1α [7], MYB [8], SOX9 [9] and VEGF [10], inactivation tumor silencer qualities, for example, TP53 [11], or the deregulation of different flagging pathway (Hedgehog [12] and PI3K/Akt [13]). Better comprehension of the pathogenesis of this malady adds to more compelling ways to deal with counteract PDAC.