167 related articles for article (PubMed ID: 30089167)
1. A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes.
Li X; Rouchka EC; Brock GN; Yan J; O'Toole TE; Tieri DA; Cooper NGF
PLoS One; 2018; 13(8):e0201813. PubMed ID: 30089167
[TBL] [Abstract][Full Text] [Related]
2. A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data.
Li X; Brock GN; Rouchka EC; Cooper NGF; Wu D; O'Toole TE; Gill RS; Eteleeb AM; O'Brien L; Rai SN
PLoS One; 2017; 12(5):e0176185. PubMed ID: 28459823
[TBL] [Abstract][Full Text] [Related]
3. Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies.
Li X; Cooper NGF; O'Toole TE; Rouchka EC
BMC Genomics; 2020 Jan; 21(1):75. PubMed ID: 31992223
[TBL] [Abstract][Full Text] [Related]
4. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
5. Investigation of genes and pathways involved in breast cancer subtypes through gene expression meta-analysis.
Jafarinejad-Farsangi S; Moazzam-Jazi M; Naderi Ghale-Noie Z; Askari N; Miri Karam Z; Mollazadeh S; Hadizadeh M
Gene; 2022 May; 821():146328. PubMed ID: 35181505
[TBL] [Abstract][Full Text] [Related]
6. Identification of Potential Long Non-Coding RNA Candidates that Contribute to Triple-Negative Breast Cancer in Humans through Computational Approach.
Rahman MM; Hossain MT; Reza MS; Peng Y; Feng S; Wei Y
Int J Mol Sci; 2021 Nov; 22(22):. PubMed ID: 34830241
[TBL] [Abstract][Full Text] [Related]
7. Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq.
Xu J; Qin S; Yi Y; Gao H; Liu X; Ma F; Guan M
Int J Mol Sci; 2022 Sep; 23(17):. PubMed ID: 36077333
[TBL] [Abstract][Full Text] [Related]
8. Novel biomarkers identified in triple-negative breast cancer through RNA-sequencing.
Chen YL; Wang K; Xie F; Zhuo ZL; Liu C; Yang Y; Wang S; Zhao XT
Clin Chim Acta; 2022 Jun; 531():302-308. PubMed ID: 35504321
[TBL] [Abstract][Full Text] [Related]
9. Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.
Li CY; Xiong DD; Huang CQ; He RQ; Liang HW; Pan DH; Wang HL; Wang YW; Zhu HW; Chen G
Med Sci Monit; 2017 Apr; 23():1857-1871. PubMed ID: 28416776
[TBL] [Abstract][Full Text] [Related]
10. Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis.
Gan S; Dai H; Li R; Liu W; Ye R; Ha Y; Di X; Hu W; Zhang Z; Sun Y
Gland Surg; 2020 Jun; 9(3):661-675. PubMed ID: 32775256
[TBL] [Abstract][Full Text] [Related]
11. Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.
Vishnubalaji R; Alajez NM
Cells; 2023 Apr; 12(8):. PubMed ID: 37190091
[TBL] [Abstract][Full Text] [Related]
12. Coexpression of PBX1 and EMP2 as Prognostic Biomarkers in Estrogen Receptor-Negative Breast Cancer via Data Mining.
Qiu Y; Lu G; Wu Y
J Comput Biol; 2020 Oct; 27(10):1509-1518. PubMed ID: 32216630
[TBL] [Abstract][Full Text] [Related]
13. Circular RNAs and their associations with breast cancer subtypes.
Nair AA; Niu N; Tang X; Thompson KJ; Wang L; Kocher JP; Subramanian S; Kalari KR
Oncotarget; 2016 Dec; 7(49):80967-80979. PubMed ID: 27829232
[TBL] [Abstract][Full Text] [Related]
14. The Clinicopathological Significance and Correlative Signaling Pathways of an Autophagy-Related Gene, Ambra1, in Breast Cancer: a Study of 25 Microarray RNA-Seq Datasets and in-House Gene Silencing.
He RQ; Xiong DD; Ma J; Hu XH; Chen G; Sun WL
Cell Physiol Biochem; 2018; 51(3):1027-1040. PubMed ID: 30476925
[TBL] [Abstract][Full Text] [Related]
15. Identification of hub genes in AR-induced tamoxifen resistance in breast cancer based on weighted gene co-expression network analysis.
Lu C; Yang Y; Lingmei L; Qiujuan H; Qianru G; Lisha Q; Wenfeng C; Yun N; Peisen Z
Breast Cancer Res Treat; 2023 Jan; 197(1):71-82. PubMed ID: 36334189
[TBL] [Abstract][Full Text] [Related]
16. MACE-Seq-based coding RNA and TrueQuant-based small RNA profile in breast cancer: tumor-suppressive miRNA-1275 identified as a novel marker.
Majed SO; Mustafa SA
BMC Cancer; 2021 Apr; 21(1):473. PubMed ID: 33910530
[TBL] [Abstract][Full Text] [Related]
17. Identification and Verification of Key Tumor Genes Associated with Diagnosis and Prognosis of Breast Cancer Based on Bioinformatics Analysis.
Yu F; Pan XJ; Luo J
Dis Markers; 2022; 2022():9041466. PubMed ID: 35686034
[TBL] [Abstract][Full Text] [Related]
18. The effect of androgen receptor expression on clinical characterization of metastatic breast cancer.
Kim JY; Park K; Lee E; Jung HH; Ahn JS; Im YH; Park WY; Park YH
Oncotarget; 2017 Jan; 8(5):8693-8706. PubMed ID: 28060723
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
Durrani IA; Bhatti A; John P
PLoS One; 2023; 18(8):e0289839. PubMed ID: 37556419
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
