DocumentCode :
1791137
Title :
Simple transcriptional networks for differentially expressed genes
Author :
Majumder, Atanu ; Sarkar, Mohanchur
Author_Institution :
Dept. of ECE, N.I.T. Durgapur, Durgapur, India
fYear :
2014
fDate :
12-13 July 2014
Firstpage :
642
Lastpage :
647
Abstract :
Transcriptional regulations in eukaryotes occur through the coordinated regulations of multiple transcription factors (TF). These transcriptional regulations are responsible for changes in expression levels between different environmental conditions or developmental stages of many genes. Some recent microarray studies have focused on the combinational nature of TF interactions. In this work we have developed a novel correlative procedure to find out the pairs of TFs, which can work together, based upon their actions (regulations) on target genes. In this context we have also found the best regulated targeted genes corresponding to a pair of TFs. In the result section we have shown that our approach is capable to find out the significant interaction networks among the TFs and target genes and between the TFs also.
Keywords :
biology computing; data mining; TF interactions; coordinated regulations; correlative procedure; data mining; differentially expressed genes; environmental conditions; expression levels; interaction networks; microarray study; multiple transcription factors; simple transcriptional networks; transcriptional regulations; Bioinformatics; Gene expression; Genomics; Lead; Nuclear measurements; Regulators; Correlation; Differentially Expressed (DE) genes; Regulatory Networks; Transcription Factors(TF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Propagation and Computer Technology (ICSPCT), 2014 International Conference on
Conference_Location :
Ajmer
Print_ISBN :
978-1-4799-3139-2
Type :
conf
DOI :
10.1109/ICSPCT.2014.6885016
Filename :
6885016
Link To Document :
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