These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
206 related articles for article (PubMed ID: 35753697)
1. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Bonidia RP; Santos APA; de Almeida BLS; Stadler PF; da Rocha UN; Sanches DS; de Carvalho ACPLF Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35753697 [TBL] [Abstract][Full Text] [Related]
2. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors. Bonidia RP; Domingues DS; Sanches DS; de Carvalho ACPLF Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34750626 [TBL] [Abstract][Full Text] [Related]
3. AutoDC: an automatic machine learning framework for disease classification. Bai Y; Li Y; Shen Y; Yang M; Zhang W; Cui B Bioinformatics; 2022 Jun; 38(13):3415-3421. PubMed ID: 35583303 [TBL] [Abstract][Full Text] [Related]
4. Scaling tree-based automated machine learning to biomedical big data with a feature set selector. Le TT; Fu W; Moore JH Bioinformatics; 2020 Jan; 36(1):250-256. PubMed ID: 31165141 [TBL] [Abstract][Full Text] [Related]
5. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Bonidia RP; Sampaio LDH; Domingues DS; Paschoal AR; Lopes FM; de Carvalho ACPLF; Sanches DS Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33585910 [TBL] [Abstract][Full Text] [Related]
6. Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance. Xiao X; Trinh TX; Gerelkhuu Z; Ha E; Yoon TH Comput Struct Biotechnol J; 2024 Dec; 25():9-19. PubMed ID: 38414794 [TBL] [Abstract][Full Text] [Related]
7. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. Manduchi E; Fu W; Romano JD; Ruberto S; Moore JH BMC Bioinformatics; 2020 Oct; 21(1):430. PubMed ID: 32998684 [TBL] [Abstract][Full Text] [Related]
9. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. Ikemura K; Bellin E; Yagi Y; Billett H; Saada M; Simone K; Stahl L; Szymanski J; Goldstein DY; Reyes Gil M J Med Internet Res; 2021 Feb; 23(2):e23458. PubMed ID: 33539308 [TBL] [Abstract][Full Text] [Related]
10. BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences. Valeri JA; Soenksen LR; Collins KM; Ramesh P; Cai G; Powers R; Angenent-Mari NM; Camacho DM; Wong F; Lu TK; Collins JJ Cell Syst; 2023 Jun; 14(6):525-542.e9. PubMed ID: 37348466 [TBL] [Abstract][Full Text] [Related]
11. DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data. Mrukwa G; Polanska J BMC Bioinformatics; 2022 Dec; 23(1):538. PubMed ID: 36503372 [TBL] [Abstract][Full Text] [Related]
12. Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination. Anozie L; Fink B; Friedrich CM; Engels C Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475063 [TBL] [Abstract][Full Text] [Related]
13. Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction. Liu G; Lu D; Lu J CPT Pharmacometrics Syst Pharmacol; 2021 May; 10(5):478-488. PubMed ID: 33793093 [TBL] [Abstract][Full Text] [Related]
14. A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing. Redkar S; Mondal S; Joseph A; Hareesha KS Mol Inform; 2020 May; 39(5):e1900062. PubMed ID: 32003548 [TBL] [Abstract][Full Text] [Related]
15. Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach. Ma J; Jiang S; Liu Z; Ren Z; Lei D; Tan C; Guo H Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501865 [TBL] [Abstract][Full Text] [Related]
16. Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. Manduchi E; Le TT; Fu W; Moore JH IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1379-1386. PubMed ID: 34310318 [TBL] [Abstract][Full Text] [Related]
17. Employing feature engineering strategies to improve the performance of machine learning algorithms on echocardiogram dataset. Huang HN; Chen HM; Lin WW; Huang CJ; Chen YC; Wang YH; Yang CT Digit Health; 2023; 9():20552076231207589. PubMed ID: 37915794 [TBL] [Abstract][Full Text] [Related]
19. FEPS: A Tool for Feature Extraction from Protein Sequence. Ismail H; White C; Al-Barakati H; Newman RH; Kc DB Methods Mol Biol; 2022; 2499():65-104. PubMed ID: 35696075 [TBL] [Abstract][Full Text] [Related]
20. Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. NiƱo-Adan I; Landa-Torres I; Manjarres D; Portillo E; Orbe L Sensors (Basel); 2021 Jun; 21(12):. PubMed ID: 34207807 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]