Cancer gene silencing network analysis using cellular automata

Kalyan Mahata, Anasua Sarkar

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

Identification of cancer pathways is the central goal in the cancer gene expression data analysis. A cellular automaton is a dynamic system with cells, which are uniform, interconnected and discrete in nature. Cellular automata are well-known methods to predict network traffics in cellular spaces. Therefore, to predict cancer pathways involved, we propose a 2-dimensional cellular automata approach over a chosen cancer gene network. Focusing on the case study, we highlight the potential impact of spatial organization in cellular spaces for the evolution and engineering of gene silencing on cancer gene expression profiles. The gene regulatory network involved in gene silencing breast cancer cell line, analysed with a predefined ranking value, has been simulated using cellular automata to obtain proper insight view of selecting biomarker genes for breast cancer. The predicted biomarker genes have been analysed with other contemporary databases, like KEGG and biologically tested for gene enrichment analysis for their significances. This approach is a novel one in the sense of projecting oncology in cellular spaces over ranking values for predicting significant biomarkers in cancer.

Originalspråkengelska
Titel på värdpublikationProceedings of the 2015 3rd International Conference on Computer, Communication, Control and Information Technology, C3IT 2015
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniskt)9781479944460
DOI
StatusPublished - 2015 jan. 1
Externt publiceradJa
Evenemang2015 3rd International Conference on Computer, Communication, Control and Information Technology, C3IT 2015 - Hooghly, Indien
Varaktighet: 2015 feb. 72015 feb. 8

Konferens

Konferens2015 3rd International Conference on Computer, Communication, Control and Information Technology, C3IT 2015
Land/TerritoriumIndien
OrtHooghly
Period2015/02/072015/02/08

Fingeravtryck

Utforska forskningsämnen för ”Cancer gene silencing network analysis using cellular automata”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här