These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
155 related articles for article (PubMed ID: 37610997)
1. Comprehensive information-based differential gene regulatory networks analysis (CIdrgn): Application to gastric cancer and chemotherapy-responsive gene network identification. Park H; Imoto S; Miyano S PLoS One; 2023; 18(8):e0286044. PubMed ID: 37610997 [TBL] [Abstract][Full Text] [Related]
2. PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis. Park H; Imoto S; Miyano S BMC Bioinformatics; 2022 Aug; 23(1):342. PubMed ID: 35974335 [TBL] [Abstract][Full Text] [Related]
3. Gene Regulatory Network-Classifier: Gene Regulatory Network-Based Classifier and Its Applications to Gastric Cancer Drug (5-Fluorouracil) Marker Identification. Park H; Imoto S; Miyano S J Comput Biol; 2023 Feb; 30(2):223-243. PubMed ID: 36450117 [TBL] [Abstract][Full Text] [Related]
4. Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification. Park H; Yamaguchi R; Imoto S; Miyano S J Comput Biol; 2022 Mar; 29(3):257-275. PubMed ID: 35073162 [TBL] [Abstract][Full Text] [Related]
5. Cost-utility analysis of the newly recommended adjuvant chemotherapy for resectable gastric cancer patients in the 2011 Chinese National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology: Gastric Cancer. Chongqing T; Liubao P; Xiaohui Z; Jianhe L; Xiaomin W; Gannong C; Siying W; Lihui O; Ziying Z Pharmacoeconomics; 2014 Mar; 32(3):235-43. PubMed ID: 23709451 [TBL] [Abstract][Full Text] [Related]
6. Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks. Park H; Yamaguchi R; Imoto S; Miyano S PLoS One; 2022; 17(5):e0261630. PubMed ID: 35584089 [TBL] [Abstract][Full Text] [Related]
7. Computational Tactics for Precision Cancer Network Biology. Park H; Miyano S Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430875 [TBL] [Abstract][Full Text] [Related]
8. Identification of responsive gene modules by network-based gene clustering and extending: application to inflammation and angiogenesis. Gu J; Chen Y; Li S; Li Y BMC Syst Biol; 2010 Apr; 4():47. PubMed ID: 20406493 [TBL] [Abstract][Full Text] [Related]
9. Chemotherapy for advanced gastric cancer. Wagner AD; Syn NL; Moehler M; Grothe W; Yong WP; Tai BC; Ho J; Unverzagt S Cochrane Database Syst Rev; 2017 Aug; 8(8):CD004064. PubMed ID: 28850174 [TBL] [Abstract][Full Text] [Related]
10. Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis. Li Q; Li J; Dai W; Li YX; Li YY Artif Intell Med; 2017 Mar; 77():12-22. PubMed ID: 28545608 [TBL] [Abstract][Full Text] [Related]
11. iTRAQ‑based proteomics analysis of the therapeutic effects of combined anticancer bioactive peptides and oxaliplatin on gastric cancer cells. Xu Y; Li X; Su X Oncol Rep; 2020 Jan; 43(1):201-217. PubMed ID: 31746436 [TBL] [Abstract][Full Text] [Related]
12. Cost-effectiveness analysis of capecitabine monotherapy versus capecitabine plus oxaliplatin in elderly patients with advanced gastric cancer. Peng J; Tan C; Zeng X; Liu S PLoS One; 2018; 13(6):e0199553. PubMed ID: 29953476 [TBL] [Abstract][Full Text] [Related]
13. Global gene network exploration based on explainable artificial intelligence approach. Park H; Maruhashi K; Yamaguchi R; Imoto S; Miyano S PLoS One; 2020; 15(11):e0241508. PubMed ID: 33156825 [TBL] [Abstract][Full Text] [Related]
14. Peripheral Venous Blood Platelet-to-Lymphocyte Ratio (PLR) for Predicting the Survival of Patients With Gastric Cancer Treated With SOX or XELOX Regimen Neoadjuvant Chemotherapy. Chen L; Hao Y; Cong X; Zou M; Li S; Zhu L; Song H; Xue Y Technol Cancer Res Treat; 2019 Jan; 18():1533033819829485. PubMed ID: 30760114 [TBL] [Abstract][Full Text] [Related]
15. [Safety and effectiveness of oxaliplatin combined with capecitabine or oxaliplatin combined with S-1 neoadjuvant chemotherapy in the treatment of advanced gastric cancer]. Xie BW; Zang L; Ma JJ; Sun J; Yang X; Wang ML; Lu AG; Hu WG; Zheng MH Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Feb; 24(2):138-144. PubMed ID: 33508919 [No Abstract] [Full Text] [Related]
16. mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks. Shi X; Gu J; Chen X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J BMC Syst Biol; 2013; 7 Suppl 5(Suppl 5):S4. PubMed ID: 24564939 [TBL] [Abstract][Full Text] [Related]
17. Construction of a competing endogenous RNA network and identification of potential regulatory axes in gastric cancer chemoresistance. Yang XZ; Ma L; Fang SX; Song Y; Zhu SY; Jin C; Liu W; Lu Q; Zeng LS; Cui SZ Pathol Res Pract; 2022 Jun; 234():153904. PubMed ID: 35487029 [TBL] [Abstract][Full Text] [Related]
18. Adjuvant capecitabine and oxaliplatin for gastric cancer after D2 gastrectomy (CLASSIC): a phase 3 open-label, randomised controlled trial. Bang YJ; Kim YW; Yang HK; Chung HC; Park YK; Lee KH; Lee KW; Kim YH; Noh SI; Cho JY; Mok YJ; Kim YH; Ji J; Yeh TS; Button P; Sirzén F; Noh SH; Lancet; 2012 Jan; 379(9813):315-21. PubMed ID: 22226517 [TBL] [Abstract][Full Text] [Related]
19. VAN: an R package for identifying biologically perturbed networks via differential variability analysis. Jayaswal V; Schramm SJ; Mann GJ; Wilkins MR; Yang YH BMC Res Notes; 2013 Oct; 6():430. PubMed ID: 24156242 [TBL] [Abstract][Full Text] [Related]
20. Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks. Park H; Shimamura T; Imoto S; Miyano S J Comput Biol; 2018 Feb; 25(2):130-145. PubMed ID: 29053381 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]