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Current Result Document :
ѱ(Korean Title) |
κ Ʈũ ũ ̿ ȯ Ư Ž |
(English Title) |
Cancer Patient Specific Driver Gene Identification by Personalized Gene Network and PageRank |
(Author) |
Hee Won Jung
Ji Woo Park
Jae Gyoon Ahn
|
ó(Citation) |
VOL 10 NO. 12 PP. 0547 ~ 0554 (2022. 12) |
ѱ۳ (Korean Abstract) |
ϴ ڴ ȯڿ ƴϸ, ̷ ȯ Ư Ž ġ ߿ ־ ſ ߿ϴ. ȯ Ư ڸ ã ־, Ȯ 鿡 ִ. ȯ Ư ڸ Žϱ Ͽ NPD (Network based Patient-specific Driver gene identification) Ѵ. NPD ȯ Ư Ʈũ ϰ, PageRank ˰ Ͽ ڿ ο , · Ͽ ڸ ã ܰ ̷. TCGA ͺ̽ Ϳ NPD , NPD ȯ Ư Ž 麸 ü F1 Ȯ ־. |
(English Abstract) |
Cancer patients can have different kinds of cancer driver genes, and identification of these patient-specific cancer driver genes is an important step in the development of personalized cancer treatment and drug development. Several bioinformatic methods have been proposed for this purpose, but there is room for improvement in terms of accuracy. In this paper, we propose NPD (Network based Patient-specific Driver gene identification) for identifying patient-specific cancer driver genes. NPD consists of three steps, constructing a patient-specific gene network, applying the modified PageRank algorithm to assign scores to genes, and identifying cancer driver genes through a score comparison method. We applied NPD on six cancer types of TCGA data, and found that NPD showed generally higher F1 score compared to existing patient-specific cancer driver gene identification methods. |
Ű(Keyword) |
Ʈũ
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Cancer Driver Gene
Gene Network
PageRank
Multi Omics Analysis
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