239 related articles for article (PubMed ID: 11765851)
1. Drug design by machine learning: support vector machines for pharmaceutical data analysis.
Burbidge R; Trotter M; Buxton B; Holden S
Comput Chem; 2001 Dec; 26(1):5-14. PubMed ID: 11765851
[TBL] [Abstract][Full Text] [Related]
2. Diagnosing breast cancer based on support vector machines.
Liu HX; Zhang RS; Luan F; Yao XJ; Liu MC; Hu ZD; Fan BT
J Chem Inf Comput Sci; 2003; 43(3):900-7. PubMed ID: 12767148
[TBL] [Abstract][Full Text] [Related]
3. Weka machine learning for predicting the phospholipidosis inducing potential.
Ivanciuc O
Curr Top Med Chem; 2008; 8(18):1691-709. PubMed ID: 19075775
[TBL] [Abstract][Full Text] [Related]
4. The construction of support vector machine classifier using the firefly algorithm.
Chao CF; Horng MH
Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
[TBL] [Abstract][Full Text] [Related]
5. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
[TBL] [Abstract][Full Text] [Related]
6. Drug discovery using support vector machines. The case studies of drug-likeness, agrochemical-likeness, and enzyme inhibition predictions.
Zernov VV; Balakin KV; Ivaschenko AA; Savchuk NP; Pletnev IV
J Chem Inf Comput Sci; 2003; 43(6):2048-56. PubMed ID: 14632457
[TBL] [Abstract][Full Text] [Related]
7. Machine learning in virtual screening.
Melville JL; Burke EK; Hirst JD
Comb Chem High Throughput Screen; 2009 May; 12(4):332-43. PubMed ID: 19442063
[TBL] [Abstract][Full Text] [Related]
8. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
9. Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks.
Bennett-Lenane H; Griffin BT; O'Shea JP
Eur J Pharm Sci; 2022 Jan; 168():106018. PubMed ID: 34563654
[TBL] [Abstract][Full Text] [Related]
10. In silico machine learning methods in drug development.
Dobchev DA; Pillai GG; Karelson M
Curr Top Med Chem; 2014; 14(16):1913-22. PubMed ID: 25262800
[TBL] [Abstract][Full Text] [Related]
11. Arbitrary norm support vector machines.
Huang K; Zheng D; King I; Lyu MR
Neural Comput; 2009 Feb; 21(2):560-82. PubMed ID: 19431269
[TBL] [Abstract][Full Text] [Related]
12. Prediction of P-glycoprotein substrates by a support vector machine approach.
Xue Y; Yap CW; Sun LZ; Cao ZW; Wang JF; Chen YZ
J Chem Inf Comput Sci; 2004; 44(4):1497-505. PubMed ID: 15272858
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.
Nayarisseri A; Khandelwal R; Tanwar P; Madhavi M; Sharma D; Thakur G; Speck-Planche A; Singh SK
Curr Drug Targets; 2021; 22(6):631-655. PubMed ID: 33397265
[TBL] [Abstract][Full Text] [Related]
14. New Machine Learning Applications to Accelerate Personalized Medicine in Breast Cancer: Rise of the Support Vector Machines.
Ozer ME; Sarica PO; Arga KY
OMICS; 2020 May; 24(5):241-246. PubMed ID: 32228365
[TBL] [Abstract][Full Text] [Related]
15. Prediction of acetylcholinesterase inhibitors and characterization of correlative molecular descriptors by machine learning methods.
Lv W; Xue Y
Eur J Med Chem; 2010 Mar; 45(3):1167-72. PubMed ID: 20053484
[TBL] [Abstract][Full Text] [Related]
16. Performance of machine learning methods for ligand-based virtual screening.
Plewczynski D; Spieser SA; Koch U
Comb Chem High Throughput Screen; 2009 May; 12(4):358-68. PubMed ID: 19442065
[TBL] [Abstract][Full Text] [Related]
17. Probabilistic classification vector machines.
Chen H; Tino P; Yao X
IEEE Trans Neural Netw; 2009 Jun; 20(6):901-14. PubMed ID: 19398403
[TBL] [Abstract][Full Text] [Related]
18. Drug/nondrug classification using Support Vector Machines with various feature selection strategies.
Korkmaz S; Zararsiz G; Goksuluk D
Comput Methods Programs Biomed; 2014 Nov; 117(2):51-60. PubMed ID: 25224081
[TBL] [Abstract][Full Text] [Related]
19. Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples.
Nakano Y; Takeshita T; Kamio N; Shiota S; Shibata Y; Suzuki N; Yoneda M; Hirofuji T; Yamashita Y
Artif Intell Med; 2014 Feb; 60(2):97-101. PubMed ID: 24439218
[TBL] [Abstract][Full Text] [Related]
20. Multi-view L2-SVM and its multi-view core vector machine.
Huang C; Chung FL; Wang S
Neural Netw; 2016 Mar; 75():110-25. PubMed ID: 26773824
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
