150 related articles for article (PubMed ID: 36807044)
1. Dynamic network biomarker to determine the critical point of breast cancer stage progression.
Jiang F; Yang L; Jiao X
Breast Cancer; 2023 May; 30(3):453-465. PubMed ID: 36807044
[TBL] [Abstract][Full Text] [Related]
2. Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers.
Liu R; Wang J; Ukai M; Sewon K; Chen P; Suzuki Y; Wang H; Aihara K; Okada-Hatakeyama M; Chen L
J Mol Cell Biol; 2019 Aug; 11(8):649-664. PubMed ID: 30383247
[TBL] [Abstract][Full Text] [Related]
3. Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm.
Song C; Qiao Z; Chen L; Ge J; Zhang R; Yuan S; Bian X; Wang C; Liu Q; Jia L; Fu R; Dou K
Front Immunol; 2022; 13():879657. PubMed ID: 35795669
[TBL] [Abstract][Full Text] [Related]
4. Network-based approach to identify prognostic biomarkers for estrogen receptor-positive breast cancer treatment with tamoxifen.
Liu R; Guo CX; Zhou HH
Cancer Biol Ther; 2015; 16(2):317-24. PubMed ID: 25756514
[TBL] [Abstract][Full Text] [Related]
5. Co-expression network analysis identified candidate biomarkers in association with progression and prognosis of breast cancer.
Zhou Q; Ren J; Hou J; Wang G; Ju L; Xiao Y; Gong Y
J Cancer Res Clin Oncol; 2019 Sep; 145(9):2383-2396. PubMed ID: 31280346
[TBL] [Abstract][Full Text] [Related]
6. Detection for disease tipping points by landscape dynamic network biomarkers.
Liu X; Chang X; Leng S; Tang H; Aihara K; Chen L
Natl Sci Rev; 2019 Jul; 6(4):775-785. PubMed ID: 34691933
[TBL] [Abstract][Full Text] [Related]
7. [Identifying critical state of breast cancer cell differentiation based on landscape dynamic network biomarkers].
Zhao H; Gao J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Apr; 37(2):304-310. PubMed ID: 32329283
[TBL] [Abstract][Full Text] [Related]
8. Determination of tipping point in course of PM
Chen S; Li D; Yu D; Li M; Ye L; Jiang Y; Tang S; Zhang R; Xu C; Jiang S; Wang Z; Aschner M; Zheng Y; Chen L; Chen W
J Hazard Mater; 2022 Mar; 426():128089. PubMed ID: 34933256
[TBL] [Abstract][Full Text] [Related]
9. Identification of co-expression modules and potential biomarkers of breast cancer by WGCNA.
Jia R; Zhao H; Jia M
Gene; 2020 Aug; 750():144757. PubMed ID: 32387385
[TBL] [Abstract][Full Text] [Related]
10. Identification of potential prognostic biomarkers for breast cancer using WGCNA and PPI integrated techniques.
Zheng G; Zhang C; Zhong C
Ann Diagn Pathol; 2021 Feb; 50():151675. PubMed ID: 33291061
[TBL] [Abstract][Full Text] [Related]
11. Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis.
Li M; Zeng T; Liu R; Chen L
Brief Bioinform; 2014 Mar; 15(2):229-43. PubMed ID: 23620135
[TBL] [Abstract][Full Text] [Related]
12. Personalized Early-Warning Signals during Progression of Human Coronary Atherosclerosis by Landscape Dynamic Network Biomarker.
Ge J; Song C; Zhang C; Liu X; Chen J; Dou K; Chen L
Genes (Basel); 2020 Jun; 11(6):. PubMed ID: 32575789
[TBL] [Abstract][Full Text] [Related]
13. Network-based approach to identify prognosis-related genes in tamoxifen-treated patients with estrogen receptor-positive breast cancer.
Wang Y; Gong X; Zhang Y
Biosci Rep; 2021 Sep; 41(9):. PubMed ID: 34406386
[TBL] [Abstract][Full Text] [Related]
14. Identification of VEGFA-centric temporal hypoxia-responsive dynamic cardiopulmonary network biomarkers.
Patel JC; Singh A; Tulswani R; Sharma YK; Khurana P; Ragumani S
Life Sci; 2021 Sep; 281():119718. PubMed ID: 34147483
[TBL] [Abstract][Full Text] [Related]
15. Identification of Hub Genes Using Co-Expression Network Analysis in Breast Cancer as a Tool to Predict Different Stages.
Fu Y; Zhou QZ; Zhang XL; Wang ZZ; Wang P
Med Sci Monit; 2019 Nov; 25():8873-8890. PubMed ID: 31758680
[TBL] [Abstract][Full Text] [Related]
16. Identification of key modules and genes associated with breast cancer prognosis using WGCNA and ceRNA network analysis.
Yin X; Wang P; Yang T; Li G; Teng X; Huang W; Yu H
Aging (Albany NY); 2020 Dec; 13(2):2519-2538. PubMed ID: 33318294
[TBL] [Abstract][Full Text] [Related]
17. [CD40LG is a novel immune- and stroma-related prognostic biomarker in the tumor microenvironment of invasive breast cancer].
Guo L; Ma Y; Li T; Li J
Nan Fang Yi Ke Da Xue Xue Bao; 2022 Sep; 42(9):1267-1278. PubMed ID: 36210698
[TBL] [Abstract][Full Text] [Related]
18. Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers.
Lu L; Jiang Z; Dai Y; Chen L
Genes (Basel); 2017 Oct; 8(10):. PubMed ID: 29027943
[TBL] [Abstract][Full Text] [Related]
19. mNFE: microbiome network flow entropy for detecting pre-disease states of type 1 diabetes.
Gao R; Li P; Ni Y; Peng X; Ren J; Chen L
Gut Microbes; 2024; 16(1):2327349. PubMed ID: 38512768
[TBL] [Abstract][Full Text] [Related]
20. Weighted gene co-expression network analysis reveals key genes involved in pancreatic ductal adenocarcinoma development.
Giulietti M; Occhipinti G; Principato G; Piva F
Cell Oncol (Dordr); 2016 Aug; 39(4):379-88. PubMed ID: 27240826
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]