An integrated method for the identification of novel genes related to oral cancer
文献类型：期刊论文
| 作者 | Chen, Lei1,6; Yang, Jing6; Cai, Yu-Dong6; Xing, Zhihao3; Shu, Yang3; Kong, XiangYin3; Huang, Tao3; Yuan, Fei2; Zhang, YunHua4; Li, HaiPeng5 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2017 |
| 卷号 | 12期号:4页码:e0175185 |
| 关键词 | liver kinase B1 metformin pancreatic cancer Snail ubiquitination |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0175185 |
| 文献子类 | Article |
| 英文摘要 | Cancer is a significant public health problem worldwide. Complete identification of genes related to one type of cancer facilitates earlier diagnosis and effective treatments. In this study, two widely used algorithms, the random walk with restart algorithm and the shortest path algorithm, were adopted to construct two parameterized computational methods, namely, an RWR-based method and an SP-based method; based on these methods, an integrated method was constructed for identifying novel disease genes. To validate the utility of the integrated method, data for oral cancer were used, on which the RWR-based and SP-based methods were trained, thereby building two optimal methods. The integrated method combining these optimal methods was further adopted to identify the novel genes of oral cancer. As a result, 85 novel genes were inferred, among which eleven genes (e.g., MYD88, FGFR2, NF-kappa BIA) were identified by both the RWR-based and SP-based methods, 70 genes (e.g., BMP4, IFNG, KITLG) were discovered only by the RWR-based method and four genes (L1R1, MCM6, NOG and CXCR3) were predicted only by the SP-based method. Extensive analyses indicate that several novel genes have strong associations with cancers, indicating the effectiveness of the integrated method for identifying disease genes. |
| 学科主题 | Science & Technology - Other Topics |
| WOS关键词 | SQUAMOUS-CELL CARCINOMA ; NF-KAPPA-B ; TUMOR-NECROSIS-FACTOR ; PROTEIN-INTERACTION NETWORKS ; POLYMERASE-CHAIN-REACTION ; SHORTEST-PATH ALGORITHM ; BREAST-CANCER ; PROSTATE-CANCER ; GROWTH-FACTOR ; BLADDER-CANCER |
| 语种 | 英语 |
| WOS记录号 | WOS:000399371900113 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/788]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China; 2.Binzhou Med Univ Hosp, Dept Sci & Technol, Binzhou, Shandong, Peoples R China; 3.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai, Peoples R China; 4.Anhui Agr Univ, Sch Resources & Environm, Hefei, Anhui, Peoples R China; 5.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, CAS Key Lab Computat Biol, Shanghai, Peoples R China, 6.Shanghai Univ, Sch Life Sci, Shanghai, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Lei,Yang, Jing,Cai, Yu-Dong,et al. An integrated method for the identification of novel genes related to oral cancer[J]. PLOS ONE,2017,12(4):e0175185. |
| APA | Chen, Lei.,Yang, Jing.,Cai, Yu-Dong.,Xing, Zhihao.,Shu, Yang.,...&,.(2017).An integrated method for the identification of novel genes related to oral cancer.PLOS ONE,12(4),e0175185. |
| MLA | Chen, Lei,et al."An integrated method for the identification of novel genes related to oral cancer".PLOS ONE 12.4(2017):e0175185. |
入库方式： OAI收割
来源：上海营养与健康研究所
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