115 related articles for article (PubMed ID: 27471658)
1. Implementation and comparison of kernel-based learning methods to predict metabolic networks.
Roche-Lima A
Netw Model Anal Health Inform Bioinform; 2016; 5(1):26. PubMed ID: 27471658
[TBL] [Abstract][Full Text] [Related]
2. Metabolic network prediction through pairwise rational kernels.
Roche-Lima A; Domaratzki M; Fristensky B
BMC Bioinformatics; 2014 Sep; 15(1):318. PubMed ID: 25260372
[TBL] [Abstract][Full Text] [Related]
3. A new pairwise kernel for biological network inference with support vector machines.
Vert JP; Qiu J; Noble WS
BMC Bioinformatics; 2007; 8 Suppl 10(Suppl 10):S8. PubMed ID: 18269702
[TBL] [Abstract][Full Text] [Related]
4. Improving prediction of heterodimeric protein complexes using combination with pairwise kernel.
Ruan P; Hayashida M; Akutsu T; Vert JP
BMC Bioinformatics; 2018 Feb; 19(Suppl 1):39. PubMed ID: 29504897
[TBL] [Abstract][Full Text] [Related]
5. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
[TBL] [Abstract][Full Text] [Related]
6. Extreme learning machine for regression and multiclass classification.
Huang GB; Zhou H; Ding X; Zhang R
IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
[TBL] [Abstract][Full Text] [Related]
7. Probabilistic inference of biological networks via data integration.
Rogers MF; Campbell C; Ying Y
Biomed Res Int; 2015; 2015():707453. PubMed ID: 25874225
[TBL] [Abstract][Full Text] [Related]
8. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.
Nascimento ACA; PrudĂȘncio RBC; Costa IG
Methods Mol Biol; 2019; 1903():281-289. PubMed ID: 30547449
[TBL] [Abstract][Full Text] [Related]
9. Learning kernels from biological networks by maximizing entropy.
Tsuda K; Noble WS
Bioinformatics; 2004 Aug; 20 Suppl 1():i326-33. PubMed ID: 15262816
[TBL] [Abstract][Full Text] [Related]
10. Kernel methods for predicting protein-protein interactions.
Ben-Hur A; Noble WS
Bioinformatics; 2005 Jun; 21 Suppl 1():i38-46. PubMed ID: 15961482
[TBL] [Abstract][Full Text] [Related]
11. iMPTCE-Hnetwork: A Multilabel Classifier for Identifying Metabolic Pathway Types of Chemicals and Enzymes with a Heterogeneous Network.
Zhu Y; Hu B; Chen L; Dai Q
Comput Math Methods Med; 2021; 2021():6683051. PubMed ID: 33488764
[TBL] [Abstract][Full Text] [Related]
12. A multi-label learning based kernel automatic recommendation method for support vector machine.
Zhang X; Song Q
PLoS One; 2015; 10(3):e0120455. PubMed ID: 25893896
[TBL] [Abstract][Full Text] [Related]
13. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
[TBL] [Abstract][Full Text] [Related]
14. LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification.
Filatov G; Bauwens B; Kertész-Farkas A
Bioinformatics; 2018 Oct; 34(19):3281-3288. PubMed ID: 29741583
[TBL] [Abstract][Full Text] [Related]
15. Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.
Segera D; Mbuthia M; Nyete A
Biomed Res Int; 2019; 2019():4085725. PubMed ID: 31998772
[TBL] [Abstract][Full Text] [Related]
16. Ranking Support Vector Machine with Kernel Approximation.
Chen K; Li R; Dou Y; Liang Z; Lv Q
Comput Intell Neurosci; 2017; 2017():4629534. PubMed ID: 28293256
[TBL] [Abstract][Full Text] [Related]
17. Multiscale asymmetric orthogonal wavelet kernel for linear programming support vector learning and nonlinear dynamic systems identification.
Lu Z; Sun J; Butts K
IEEE Trans Cybern; 2014 May; 44(5):712-24. PubMed ID: 24058047
[TBL] [Abstract][Full Text] [Related]
18. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
Hasan MA; Ahmad S; Molla MK
Mol Biosyst; 2017 Mar; 13(4):785-795. PubMed ID: 28247893
[TBL] [Abstract][Full Text] [Related]
19. Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: a case study on renal function evaluation.
Song Q; Kasabov N; Ma T; Marshall MR
Artif Intell Med; 2006 Mar; 36(3):235-44. PubMed ID: 16213694
[TBL] [Abstract][Full Text] [Related]
20. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]