198 related articles for article (PubMed ID: 32850369)
1. Gene Co-expression Is Distance-Dependent in Breast Cancer.
García-Cortés D; de Anda-Jáuregui G; Fresno C; Hernández-Lemus E; Espinal-Enríquez J
Front Oncol; 2020; 10():1232. PubMed ID: 32850369
[TBL] [Abstract][Full Text] [Related]
2. Gene Co-Expression in Breast Cancer: A Matter of Distance.
González-Espinoza A; Zamora-Fuentes J; Hernández-Lemus E; Espinal-Enríquez J
Front Oncol; 2021; 11():726493. PubMed ID: 34868919
[TBL] [Abstract][Full Text] [Related]
3. Luminal A Breast Cancer Co-expression Network: Structural and Functional Alterations.
García-Cortés D; Hernández-Lemus E; Espinal-Enríquez J
Front Genet; 2021; 12():629475. PubMed ID: 33959148
[TBL] [Abstract][Full Text] [Related]
4. Loss of Long Distance Co-Expression in Lung Cancer.
Andonegui-Elguera SD; Zamora-Fuentes JM; Espinal-Enríquez J; Hernández-Lemus E
Front Genet; 2021; 12():625741. PubMed ID: 33777098
[TBL] [Abstract][Full Text] [Related]
5. The Role of Transcription Factors in the Loss of Inter-Chromosomal Co-Expression for Breast Cancer Subtypes.
Trujillo-Ortíz R; Espinal-Enríquez J; Hernández-Lemus E
Int J Mol Sci; 2023 Dec; 24(24):. PubMed ID: 38139393
[TBL] [Abstract][Full Text] [Related]
6. CNVs in 8q24.3 do not influence gene co-expression in breast cancer subtypes.
Hernández-Gómez C; Hernández-Lemus E; Espinal-Enríquez J
Front Genet; 2023; 14():1141011. PubMed ID: 37274786
[TBL] [Abstract][Full Text] [Related]
7. Gene Expression and Co-expression Networks Are Strongly Altered Through Stages in Clear Cell Renal Carcinoma.
Zamora-Fuentes JM; Hernández-Lemus E; Espinal-Enríquez J
Front Genet; 2020; 11():578679. PubMed ID: 33240325
[TBL] [Abstract][Full Text] [Related]
8. k-core genes underpin structural features of breast cancer.
Dorantes-Gilardi R; García-Cortés D; Hernández-Lemus E; Espinal-Enríquez J
Sci Rep; 2021 Aug; 11(1):16284. PubMed ID: 34381069
[TBL] [Abstract][Full Text] [Related]
9. An Information Theoretical Multilayer Network Approach to Breast Cancer Transcriptional Regulation.
Ochoa S; de Anda-Jáuregui G; Hernández-Lemus E
Front Genet; 2021; 12():617512. PubMed ID: 33815463
[TBL] [Abstract][Full Text] [Related]
10. The Role of Copy Number Variants in Gene Co-Expression Patterns for Luminal B Breast Tumors.
Hernández-Gómez C; Hernández-Lemus E; Espinal-Enríquez J
Front Genet; 2022; 13():806607. PubMed ID: 35432489
[TBL] [Abstract][Full Text] [Related]
11. Highly connected, non-redundant microRNA functional control in breast cancer molecular subtypes.
de Anda-Jáuregui G; Espinal-Enríquez J; Hernández-Lemus E
Interface Focus; 2021 Jun; 11(4):20200073. PubMed ID: 34123357
[TBL] [Abstract][Full Text] [Related]
12. The gene expression landscape of breast cancer is shaped by tumor protein p53 status and epithelial-mesenchymal transition.
Fredlund E; Staaf J; Rantala JK; Kallioniemi O; Borg A; Ringnér M
Breast Cancer Res; 2012 Jul; 14(4):R113. PubMed ID: 22839103
[TBL] [Abstract][Full Text] [Related]
13. Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.
Baslan T; Kendall J; Volyanskyy K; McNamara K; Cox H; D'Italia S; Ambrosio F; Riggs M; Rodgers L; Leotta A; Song J; Mao Y; Wu J; Shah R; Gularte-Mérida R; Chadalavada K; Nanjangud G; Varadan V; Gordon A; Curtis C; Krasnitz A; Dimitrova N; Harris L; Wigler M; Hicks J
Elife; 2020 May; 9():. PubMed ID: 32401198
[TBL] [Abstract][Full Text] [Related]
14. Understanding the functional impact of copy number alterations in breast cancer using a network modeling approach.
Srihari S; Kalimutho M; Lal S; Singla J; Patel D; Simpson PT; Khanna KK; Ragan MA
Mol Biosyst; 2016 Mar; 12(3):963-72. PubMed ID: 26805938
[TBL] [Abstract][Full Text] [Related]
15. Identifying in-trans process associated genes in breast cancer by integrated analysis of copy number and expression data.
Aure MR; Steinfeld I; Baumbusch LO; Liestøl K; Lipson D; Nyberg S; Naume B; Sahlberg KK; Kristensen VN; Børresen-Dale AL; Lingjærde OC; Yakhini Z
PLoS One; 2013; 8(1):e53014. PubMed ID: 23382830
[TBL] [Abstract][Full Text] [Related]
16. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes.
de Anda-Jáuregui G; Velázquez-Caldelas TE; Espinal-Enríquez J; Hernández-Lemus E
Front Physiol; 2016; 7():568. PubMed ID: 27920729
[TBL] [Abstract][Full Text] [Related]
17. Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes.
Titus AJ; Way GP; Johnson KC; Christensen BC
Sci Rep; 2017 Sep; 7(1):11594. PubMed ID: 28912426
[TBL] [Abstract][Full Text] [Related]
18. Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.
Chen J; Xu J; Li Y; Zhang J; Chen H; Lu J; Wang Z; Zhao X; Xu K; Li Y; Li X; Zhang Y
Oncotarget; 2017 Feb; 8(6):10171-10184. PubMed ID: 28052038
[TBL] [Abstract][Full Text] [Related]
19. Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration.
Terkelsen T; Russo F; Gromov P; Haakensen VD; Brunak S; Gromova I; Krogh A; Papaleo E
Breast Cancer Res; 2020 Jun; 22(1):73. PubMed ID: 32605588
[TBL] [Abstract][Full Text] [Related]
20. RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer.
Espinal-Enríquez J; Fresno C; Anda-Jáuregui G; Hernández-Lemus E
Sci Rep; 2017 May; 7(1):1760. PubMed ID: 28496157
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]