84 related articles for article (PubMed ID: 38606185)
1. Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining.
Vougas K; Sakellaropoulos T; Kotsinas A; Foukas GP; Ntargaras A; Koinis F; Polyzos A; Myrianthopoulos V; Zhou H; Narang S; Georgoulias V; Alexopoulos L; Aifantis I; Townsend PA; Sfikakis P; Fitzgerald R; Thanos D; Bartek J; Petty R; Tsirigos A; Gorgoulis VG
Pharmacol Ther; 2019 Nov; 203():107395. PubMed ID: 31374225
[TBL] [Abstract][Full Text] [Related]
2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
3. Text-mining-based feature selection for anticancer drug response prediction.
Wu G; Zaker A; Ebrahimi A; Tripathi S; Mer AS
Bioinform Adv; 2024; 4(1):vbae047. PubMed ID: 38606185
[TBL] [Abstract][Full Text] [Related]
4. Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks.
Alachram H; Chereda H; Beißbarth T; Wingender E; Stegmaier P
PLoS One; 2021; 16(10):e0258623. PubMed ID: 34653224
[TBL] [Abstract][Full Text] [Related]
5. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
[TBL] [Abstract][Full Text] [Related]
6. Medical data mining in sentiment analysis based on optimized swarm search feature selection.
Zeng D; Peng J; Fong S; Qiu Y; Wong R
Australas Phys Eng Sci Med; 2018 Dec; 41(4):1087-1100. PubMed ID: 30206813
[TBL] [Abstract][Full Text] [Related]
7. Gamma distribution based predicting model for breast cancer drug response based on multi-layer feature selection.
Cui T; Wang Z; Gu H; Qin P; Wang J
Front Genet; 2023; 14():1095976. PubMed ID: 36816042
[TBL] [Abstract][Full Text] [Related]
8. Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model.
Emdadi A; Eslahchi C
BMC Bioinformatics; 2021 Jan; 22(1):33. PubMed ID: 33509079
[TBL] [Abstract][Full Text] [Related]
9. Elastic Net Regularization Paths for All Generalized Linear Models.
Tay JK; Narasimhan B; Hastie T
J Stat Softw; 2023; 106():. PubMed ID: 37138589
[TBL] [Abstract][Full Text] [Related]
10. Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data.
Wang Z; Zhou Y; Takagi T; Song J; Tian YS; Shibuya T
BMC Bioinformatics; 2023 Apr; 24(1):139. PubMed ID: 37031189
[TBL] [Abstract][Full Text] [Related]
11. Deep learning methods for drug response prediction in cancer: Predominant and emerging trends.
Partin A; Brettin TS; Zhu Y; Narykov O; Clyde A; Overbeek J; Stevens RL
Front Med (Lausanne); 2023; 10():1086097. PubMed ID: 36873878
[TBL] [Abstract][Full Text] [Related]
12. A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction.
Pudjihartono N; Fadason T; Kempa-Liehr AW; O'Sullivan JM
Front Bioinform; 2022; 2():927312. PubMed ID: 36304293
[TBL] [Abstract][Full Text] [Related]
13. Transforming L1000 profiles to RNA-seq-like profiles with deep learning.
Jeon M; Xie Z; Evangelista JE; Wojciechowicz ML; Clarke DJB; Ma'ayan A
BMC Bioinformatics; 2022 Sep; 23(1):374. PubMed ID: 36100892
[TBL] [Abstract][Full Text] [Related]
14. Bimodal Gene Expression in Patients with Cancer Provides Interpretable Biomarkers for Drug Sensitivity.
Ba-Alawi W; Nair SK; Li B; Mammoliti A; Smirnov P; Mer AS; Penn LZ; Haibe-Kains B
Cancer Res; 2022 Jul; 82(13):2378-2387. PubMed ID: 35536872
[TBL] [Abstract][Full Text] [Related]
15. DeepSide: A Deep Learning Approach for Drug Side Effect Prediction.
Uner OC; Kuru HI; Cinbis RG; Tastan O; Cicek AE
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):330-339. PubMed ID: 34995191
[TBL] [Abstract][Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
