113 related articles for article (PubMed ID: 34774515)
1. Discriminating Neoplastic from Nonneoplastic Tissues Using an miRNA-Based Deep Cancer Classifier.
Kaczmarek E; Pyman B; Nanayakkara J; Tuschl T; Tyryshkin K; Renwick N; Mousavi P
Am J Pathol; 2022 Feb; 192(2):344-352. PubMed ID: 34774515
[TBL] [Abstract][Full Text] [Related]
2. Identifying a miRNA signature for predicting the stage of breast cancer.
Yerukala Sathipati S; Ho SY
Sci Rep; 2018 Oct; 8(1):16138. PubMed ID: 30382159
[TBL] [Abstract][Full Text] [Related]
3. Analysis of serum genome-wide microRNAs for breast cancer detection.
Wu Q; Wang C; Lu Z; Guo L; Ge Q
Clin Chim Acta; 2012 Jul; 413(13-14):1058-65. PubMed ID: 22387599
[TBL] [Abstract][Full Text] [Related]
4. Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods.
Tuo Y; An N; Zhang M
Mol Med Rep; 2018 Mar; 17(3):4281-4290. PubMed ID: 29328377
[TBL] [Abstract][Full Text] [Related]
5. Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers.
Sarkar JP; Saha I; Sarkar A; Maulik U
Comput Biol Med; 2021 Apr; 131():104244. PubMed ID: 33550016
[TBL] [Abstract][Full Text] [Related]
6. Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.
Pyman B; Sedghi A; Azizi S; Tyryshkin K; Renwick N; Mousavi P
Pac Symp Biocomput; 2019; 24():160-171. PubMed ID: 30864319
[TBL] [Abstract][Full Text] [Related]
7. Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity.
Stokowy T; Wojtas B; Jarzab B; Krohn K; Fredman D; Dralle H; Musholt T; Hauptmann S; Lange D; Hegedüs L; Paschke R; Eszlinger M
Endocrine; 2016 Nov; 54(2):440-447. PubMed ID: 27473101
[TBL] [Abstract][Full Text] [Related]
8. Study of microRNAs-21/221 as potential breast cancer biomarkers in Egyptian women.
Motawi TM; Sadik NA; Shaker OG; El Masry MR; Mohareb F
Gene; 2016 Sep; 590(2):210-9. PubMed ID: 26827795
[TBL] [Abstract][Full Text] [Related]
9. Cancer survival classification using integrated data sets and intermediate information.
Kim S; Park T; Kon M
Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
[TBL] [Abstract][Full Text] [Related]
10. Multilayer network analysis of miRNA and protein expression profiles in breast cancer patients.
Zhang Y; Chen J; Wang Y; Wang D; Cong W; Lai BS; Zhao Y
PLoS One; 2019; 14(4):e0202311. PubMed ID: 30946749
[TBL] [Abstract][Full Text] [Related]
11. Analysis of miRNA expression profiles in breast cancer using biclustering.
Fiannaca A; La Rosa M; La Paglia L; Rizzo R; Urso A
BMC Bioinformatics; 2015; 16 Suppl 4(Suppl 4):S7. PubMed ID: 25734576
[TBL] [Abstract][Full Text] [Related]
12. Tree-based machine learning algorithms identified minimal set of miRNA biomarkers for breast cancer diagnosis and molecular subtyping.
Sherafatian M
Gene; 2018 Nov; 677():111-118. PubMed ID: 30055304
[TBL] [Abstract][Full Text] [Related]
13. [Novel miRNA genes hypermethylated in breast cancer].
Loginov VI; Burdennyy AM; Pronina IV; Khokonova VV; Kurevljov SV; Kazubskaya TP; Kushlinskii NE; Braga EA
Mol Biol (Mosk); 2016; 50(5):797-802. PubMed ID: 27830681
[TBL] [Abstract][Full Text] [Related]
14. Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer.
McAnena P; Tanriverdi K; Curran C; Gilligan K; Freedman JE; Brown JAL; Kerin MJ
BMC Cancer; 2019 May; 19(1):436. PubMed ID: 31077182
[TBL] [Abstract][Full Text] [Related]
15. Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms.
Hao Y; Duh QY; Kloos RT; Babiarz J; Harrell RM; Traweek ST; Kim SY; Fedorowicz G; Walsh PS; Sadow PM; Huang J; Kennedy GC
BMC Syst Biol; 2019 Apr; 13(Suppl 2):27. PubMed ID: 30952205
[TBL] [Abstract][Full Text] [Related]
16. Novel circulating microRNA signature as a potential non-invasive multi-marker test in ER-positive early-stage breast cancer: a case control study.
Kodahl AR; Lyng MB; Binder H; Cold S; Gravgaard K; Knoop AS; Ditzel HJ
Mol Oncol; 2014 Jul; 8(5):874-83. PubMed ID: 24694649
[TBL] [Abstract][Full Text] [Related]
17. A two-miRNA signature of upregulated miR-185-5p and miR-362-5p as a blood biomarker for breast cancer.
Zhang K; Wang YY; Xu Y; Zhang L; Zhu J; Si PC; Wang YW; Ma R
Pathol Res Pract; 2021 Jun; 222():153458. PubMed ID: 33962174
[TBL] [Abstract][Full Text] [Related]
18. Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers.
van Schooneveld E; Wouters MC; Van der Auwera I; Peeters DJ; Wildiers H; Van Dam PA; Vergote I; Vermeulen PB; Dirix LY; Van Laere SJ
Breast Cancer Res; 2012 Feb; 14(1):R34. PubMed ID: 22353773
[TBL] [Abstract][Full Text] [Related]
19. Differential expression of the miR-17-92 cluster and miR-17 family in breast cancer according to tumor type; results from the Norwegian Women and Cancer (NOWAC) study.
Moi L; Braaten T; Al-Shibli K; Lund E; Busund LR
J Transl Med; 2019 Oct; 17(1):334. PubMed ID: 31581940
[TBL] [Abstract][Full Text] [Related]
20. A nine-miRNA signature as a potential diagnostic marker for breast carcinoma: An integrated study of 1,110 cases.
Xiong DD; Lv J; Wei KL; Feng ZB; Chen JT; Liu KC; Chen G; Luo DZ
Oncol Rep; 2017 Jun; 37(6):3297-3304. PubMed ID: 28440475
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
