142 related articles for article (PubMed ID: 32095794)
1. Optimisation of cancer classification by machine learning generates an enriched list of candidate drug targets and biomarkers.
Ramroach S; Joshi A; John M
Mol Omics; 2020 Apr; 16(2):113-125. PubMed ID: 32095794
[TBL] [Abstract][Full Text] [Related]
2. Machine learning random forest for predicting oncosomatic variant NGS analysis.
Pellegrino E; Jacques C; Beaufils N; Nanni I; Carlioz A; Metellus P; Ouafik L
Sci Rep; 2021 Nov; 11(1):21820. PubMed ID: 34750410
[TBL] [Abstract][Full Text] [Related]
3. Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning.
Zhang X; Jang MI; Zheng Z; Gao A; Lin Z; Kim KY
Anticancer Res; 2021 May; 41(5):2419-2429. PubMed ID: 33952467
[TBL] [Abstract][Full Text] [Related]
4. Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer.
Sachnev V; Saraswathi S; Niaz R; Kloczkowski A; Suresh S
BMC Bioinformatics; 2015 May; 16():166. PubMed ID: 25986937
[TBL] [Abstract][Full Text] [Related]
5. Convolutional neural network models for cancer type prediction based on gene expression.
Mostavi M; Chiu YC; Huang Y; Chen Y
BMC Med Genomics; 2020 Apr; 13(Suppl 5):44. PubMed ID: 32241303
[TBL] [Abstract][Full Text] [Related]
6. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
[TBL] [Abstract][Full Text] [Related]
7. Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.
Kaiser TM; Burger PB
Molecules; 2019 Jun; 24(11):. PubMed ID: 31167452
[TBL] [Abstract][Full Text] [Related]
8. Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.
Kweon S; Lee JH; Lee Y; Park YR
J Med Internet Res; 2020 Aug; 22(8):e18387. PubMed ID: 32773372
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.
Podolsky MD; Barchuk AA; Kuznetcov VI; Gusarova NF; Gaidukov VS; Tarakanov SA
Asian Pac J Cancer Prev; 2016; 17(2):835-8. PubMed ID: 26925688
[TBL] [Abstract][Full Text] [Related]
10. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
Zhang X; Wang J; Li J; Chen W; Liu C
BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
[TBL] [Abstract][Full Text] [Related]
11. Pan-cancer classification by regularized multi-task learning.
Hossain SMM; Khatun L; Ray S; Mukhopadhyay A
Sci Rep; 2021 Dec; 11(1):24252. PubMed ID: 34930937
[TBL] [Abstract][Full Text] [Related]
12. CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.
Lee K; Jeong HO; Lee S; Jeong WK
Sci Rep; 2019 Nov; 9(1):16927. PubMed ID: 31729414
[TBL] [Abstract][Full Text] [Related]
13. Gene expression cancer classification using modified K-Nearest Neighbors technique.
Ayyad SM; Saleh AI; Labib LM
Biosystems; 2019 Feb; 176():41-51. PubMed ID: 30611843
[TBL] [Abstract][Full Text] [Related]
14. A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data.
Li Y; Kang K; Krahn JM; Croutwater N; Lee K; Umbach DM; Li L
BMC Genomics; 2017 Jul; 18(1):508. PubMed ID: 28673244
[TBL] [Abstract][Full Text] [Related]
15. Cancer classification of single-cell gene expression data by neural network.
Kim BH; Yu K; Lee PCW
Bioinformatics; 2020 Mar; 36(5):1360-1366. PubMed ID: 31603465
[TBL] [Abstract][Full Text] [Related]
16. A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification.
Nakariyakul S
PLoS One; 2019; 14(2):e0212333. PubMed ID: 30768654
[TBL] [Abstract][Full Text] [Related]
17. A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms.
Azami H; Escudero J
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2836-9. PubMed ID: 26736882
[TBL] [Abstract][Full Text] [Related]
18. GVES: machine learning model for identification of prognostic genes with a small dataset.
Ko S; Choi J; Ahn J
Sci Rep; 2021 Jan; 11(1):439. PubMed ID: 33431999
[TBL] [Abstract][Full Text] [Related]
19. Application of a Neural Network Whole Transcriptome-Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers.
Grewal JK; Tessier-Cloutier B; Jones M; Gakkhar S; Ma Y; Moore R; Mungall AJ; Zhao Y; Taylor MD; Gelmon K; Lim H; Renouf D; Laskin J; Marra M; Yip S; Jones SJM
JAMA Netw Open; 2019 Apr; 2(4):e192597. PubMed ID: 31026023
[TBL] [Abstract][Full Text] [Related]
20. Signature microRNAs and long noncoding RNAs in laryngeal cancer recurrence identified using a competing endogenous RNA network.
Tang Z; Wei G; Zhang L; Xu Z
Mol Med Rep; 2019 Jun; 19(6):4806-4818. PubMed ID: 31059106
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
