206 related articles for article (PubMed ID: 28935226)
21. Soft Computing for Analysis of Biomedical Data.
Divina F; García-Torres M; Hu T; Schaerer CE
Comput Math Methods Med; 2018; 2018():3902484. PubMed ID: 30581492
[No Abstract] [Full Text] [Related]
22. Brief Survey on Machine Learning in Epistasis.
Chicco D; Faultless T
Methods Mol Biol; 2021; 2212():169-179. PubMed ID: 33733356
[TBL] [Abstract][Full Text] [Related]
23. Mining chemical patents with an ensemble of open systems.
Leaman R; Wei CH; Zou C; Lu Z
Database (Oxford); 2016; 2016():. PubMed ID: 27173521
[TBL] [Abstract][Full Text] [Related]
24. HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V.
Li H; Tang B; Chen Q; Chen K; Wang X; Wang B; Wang Z
Database (Oxford); 2016; 2016():. PubMed ID: 27270713
[TBL] [Abstract][Full Text] [Related]
25. Prospects for the automated extraction of mutation data from the scientific literature.
Stenson PD; Cooper DN
Hum Genomics; 2010 Oct; 5(1):1-4. PubMed ID: 21106485
[No Abstract] [Full Text] [Related]
26. Data Mining and Machine Learning Methods for Dementia Research.
Li R
Methods Mol Biol; 2018; 1750():363-370. PubMed ID: 29512086
[TBL] [Abstract][Full Text] [Related]
27. A novel hierarchical selective ensemble classifier with bioinformatics application.
Wei L; Wan S; Guo J; Wong KK
Artif Intell Med; 2017 Nov; 83():82-90. PubMed ID: 28245947
[TBL] [Abstract][Full Text] [Related]
28. Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists.
Jha S; Topol EJ
JAMA; 2016 Dec; 316(22):2353-2354. PubMed ID: 27898975
[No Abstract] [Full Text] [Related]
29. Preface.
Bandyopadhyay S; DE RK
J Biosci; 2015 Oct; 40(4):667-9. PubMed ID: 26564969
[No Abstract] [Full Text] [Related]
30. Learning from biomedical linked data to suggest valid pharmacogenes.
Dalleau K; Marzougui Y; Da Silva S; Ringot P; Ndiaye NC; Coulet A
J Biomed Semantics; 2017 Apr; 8(1):16. PubMed ID: 28427468
[TBL] [Abstract][Full Text] [Related]
31. Big Data and machine learning in radiation oncology: State of the art and future prospects.
Bibault JE; Giraud P; Burgun A
Cancer Lett; 2016 Nov; 382(1):110-117. PubMed ID: 27241666
[TBL] [Abstract][Full Text] [Related]
32. New data and features for advanced data mining in Manteia.
Tassy O
Nucleic Acids Res; 2017 Jan; 45(D1):D707-D711. PubMed ID: 27924046
[TBL] [Abstract][Full Text] [Related]
33. Genetic Algorithm in Data Mining of Colorectal Images.
Chen SM; Zhang JH
Comput Math Methods Med; 2021; 2021():3854518. PubMed ID: 34691237
[TBL] [Abstract][Full Text] [Related]
34. Application of machine learning in rheumatic disease research.
Kim KJ; Tagkopoulos I
Korean J Intern Med; 2019 Jul; 34(4):708-722. PubMed ID: 30616329
[TBL] [Abstract][Full Text] [Related]
35. On the necessity of careful interpretation of omics data.
Braeuning A; Frenzel F; Lampen A
Arch Toxicol; 2018 Aug; 92(8):2701-2702. PubMed ID: 29943111
[No Abstract] [Full Text] [Related]
36. Machine learning and complex biological data.
Xu C; Jackson SA
Genome Biol; 2019 Apr; 20(1):76. PubMed ID: 30992073
[TBL] [Abstract][Full Text] [Related]
37. Perspectives on making big data analytics work for oncology.
El Naqa I
Methods; 2016 Dec; 111():32-44. PubMed ID: 27586524
[TBL] [Abstract][Full Text] [Related]
38. Embedding assisted prediction architecture for event trigger identification.
Nie Y; Rong W; Zhang Y; Ouyang Y; Xiong Z
J Bioinform Comput Biol; 2015 Jun; 13(3):1541001. PubMed ID: 25669328
[TBL] [Abstract][Full Text] [Related]
39. Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.
Alonso-Betanzos A; Bolón-Canedo V
Adv Exp Med Biol; 2018; 1065():607-626. PubMed ID: 30051410
[TBL] [Abstract][Full Text] [Related]
40. Coupling Graphs, Efficient Algorithms and B-Cell Epitope Prediction.
Liang Zhao ; Hoi SC; Li Z; Wong L; Nguyen H; Li J
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(1):7-16. PubMed ID: 26355502
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
