168 related articles for article (PubMed ID: 34689757)
1. Deep learning for cancer type classification and driver gene identification.
Zeng Z; Mao C; Vo A; Li X; Nugent JO; Khan SA; Clare SE; Luo Y
BMC Bioinformatics; 2021 Oct; 22(Suppl 4):491. PubMed ID: 34689757
[TBL] [Abstract][Full Text] [Related]
2. Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping.
Sanjaya P; Maljanen K; Katainen R; Waszak SM; ; Aaltonen LA; Stegle O; Korbel JO; Pitkänen E
Genome Med; 2023 Jul; 15(1):47. PubMed ID: 37420249
[TBL] [Abstract][Full Text] [Related]
3. Genomic characterization of biliary tract cancers identifies driver genes and predisposing mutations.
Wardell CP; Fujita M; Yamada T; Simbolo M; Fassan M; Karlic R; Polak P; Kim J; Hatanaka Y; Maejima K; Lawlor RT; Nakanishi Y; Mitsuhashi T; Fujimoto A; Furuta M; Ruzzenente A; Conci S; Oosawa A; Sasaki-Oku A; Nakano K; Tanaka H; Yamamoto Y; Michiaki K; Kawakami Y; Aikata H; Ueno M; Hayami S; Gotoh K; Ariizumi SI; Yamamoto M; Yamaue H; Chayama K; Miyano S; Getz G; Scarpa A; Hirano S; Nakamura T; Nakagawa H
J Hepatol; 2018 May; 68(5):959-969. PubMed ID: 29360550
[TBL] [Abstract][Full Text] [Related]
4. Cancer classification and pathway discovery using non-negative matrix factorization.
Zeng Z; Vo AH; Mao C; Clare SE; Khan SA; Luo Y
J Biomed Inform; 2019 Aug; 96():103247. PubMed ID: 31271844
[TBL] [Abstract][Full Text] [Related]
5. Analysis of 7,815 cancer exomes reveals associations between mutational processes and somatic driver mutations.
Poulos RC; Wong YT; Ryan R; Pang H; Wong JWH
PLoS Genet; 2018 Nov; 14(11):e1007779. PubMed ID: 30412573
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Substantial batch effects in TCGA exome sequences undermine pan-cancer analysis of germline variants.
Rasnic R; Brandes N; Zuk O; Linial M
BMC Cancer; 2019 Aug; 19(1):783. PubMed ID: 31391007
[TBL] [Abstract][Full Text] [Related]
8. DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network.
Meng J; Victor B; He Z; Liu H; Jiang T
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33164053
[TBL] [Abstract][Full Text] [Related]
9. DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost.
Maruf FA; Pratama R; Song G
J Bioinform Comput Biol; 2021 Dec; 19(6):2140017. PubMed ID: 34895111
[TBL] [Abstract][Full Text] [Related]
10. deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks.
Luo P; Ding Y; Lei X; Wu FX
Front Genet; 2019; 10():13. PubMed ID: 30761181
[TBL] [Abstract][Full Text] [Related]
11. Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations.
Agajanian S; Oluyemi O; Verkhivker GM
Front Mol Biosci; 2019; 6():44. PubMed ID: 31245384
[TBL] [Abstract][Full Text] [Related]
12. Classification of breast cancer patients using somatic mutation profiles and machine learning approaches.
Vural S; Wang X; Guda C
BMC Syst Biol; 2016 Aug; 10 Suppl 3(Suppl 3):62. PubMed ID: 27587275
[TBL] [Abstract][Full Text] [Related]
13. A computational approach to distinguish somatic vs. germline origin of genomic alterations from deep sequencing of cancer specimens without a matched normal.
Sun JX; He Y; Sanford E; Montesion M; Frampton GM; Vignot S; Soria JC; Ross JS; Miller VA; Stephens PJ; Lipson D; Yelensky R
PLoS Comput Biol; 2018 Feb; 14(2):e1005965. PubMed ID: 29415044
[TBL] [Abstract][Full Text] [Related]
14. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
[TBL] [Abstract][Full Text] [Related]
15. DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations.
Yuan Y; Shi Y; Li C; Kim J; Cai W; Han Z; Feng DD
BMC Bioinformatics; 2016 Dec; 17(Suppl 17):476. PubMed ID: 28155641
[TBL] [Abstract][Full Text] [Related]
16. Genomic pan-cancer classification using image-based deep learning.
Ye T; Li S; Zhang Y
Comput Struct Biotechnol J; 2021; 19():835-846. PubMed ID: 33598099
[TBL] [Abstract][Full Text] [Related]
17. deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
Duhan N; Norton JM; Kaundal R
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325031
[TBL] [Abstract][Full Text] [Related]
18. Germline Mutations for Novel Candidate Predisposition Genes in Sporadic Schwannomatosis.
Min BJ; Kang YK; Chung YG; Seo ME; Chang KB; Joo MW
Clin Orthop Relat Res; 2020 Nov; 478(11):2442-2450. PubMed ID: 32281771
[TBL] [Abstract][Full Text] [Related]
19. Whole exome sequencing in the rat.
Foley JF; Phadke DP; Hardy O; Hardy S; Miller V; Madan A; Howard K; Kruse K; Lord C; Ramaiahgari S; Solomon GG; Shah RR; Pandiri AR; Herbert RA; Sills RC; Merrick BA
BMC Genomics; 2018 Jun; 19(1):487. PubMed ID: 29925311
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.
Agajanian S; Odeyemi O; Bischoff N; Ratra S; Verkhivker GM
J Chem Inf Model; 2018 Oct; 58(10):2131-2150. PubMed ID: 30253099
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
