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Results: 1 to 20 of 149

1.

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.

Qi Y, Tastan O, Carbonell JG, Klein-Seetharaman J, Weston J.

Bioinformatics. 2010 Sep 15;26(18):i645-52. doi: 10.1093/bioinformatics/btq394.

PMID:
20823334
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

Predicting protein function by multi-label correlated semi-supervised learning.

Jiang JQ, McQuay LJ.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Jul-Aug;9(4):1059-69. doi: 10.1109/TCBB.2011.156.

PMID:
22595236
[PubMed - indexed for MEDLINE]
3.

Determining confidence of predicted interactions between HIV-1 and human proteins using conformal method.

Nouretdinov I, Gammerman A, Qi Y, Klein-Seetharaman J.

Pac Symp Biocomput. 2012:311-22.

PMID:
22174286
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

Prediction of interactions between HIV-1 and human proteins by information integration.

Tastan O, Qi Y, Carbonell JG, Klein-Seetharaman J.

Pac Symp Biocomput. 2009:516-27.

PMID:
19209727
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Feature-based classification of native and non-native protein-protein interactions: Comparing supervised and semi-supervised learning approaches.

Zhao N, Pang B, Shyu CR, Korkin D.

Proteomics. 2011 Nov;11(22):4321-30. doi: 10.1002/pmic.201100217. Epub 2011 Oct 17.

PMID:
22002942
[PubMed - indexed for MEDLINE]
6.

Semi-supervised protein subcellular localization.

Xu Q, Hu DH, Xue H, Yu W, Yang Q.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S47. doi: 10.1186/1471-2105-10-S1-S47.

PMID:
19208149
[PubMed - indexed for MEDLINE]
Free PMC Article
7.

Improving the performance of an SVM-based method for predicting protein-protein interactions.

Dohkan S, Koike A, Takagi T.

In Silico Biol. 2006;6(6):515-29.

PMID:
17518762
[PubMed - indexed for MEDLINE]
8.

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.

You ZH, Yin Z, Han K, Huang DS, Zhou X.

BMC Bioinformatics. 2010 Jun 24;11:343. doi: 10.1186/1471-2105-11-343.

PMID:
20573270
[PubMed - indexed for MEDLINE]
Free PMC Article
9.

PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions.

Hertz T, Yanover C.

BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S3.

PMID:
16723006
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

Detecting disease genes based on semi-supervised learning and protein-protein interaction networks.

Nguyen TP, Ho TB.

Artif Intell Med. 2012 Jan;54(1):63-71. doi: 10.1016/j.artmed.2011.09.003. Epub 2011 Oct 14.

PMID:
22000346
[PubMed - indexed for MEDLINE]
11.

Learning an enriched representation from unlabeled data for protein-protein interaction extraction.

Li Y, Hu X, Lin H, Yang Z.

BMC Bioinformatics. 2010 Apr 16;11 Suppl 2:S7. doi: 10.1186/1471-2105-11-S2-S7.

PMID:
20406505
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

SemiBoost: boosting for semi-supervised learning.

Mallapragada PK, Jin R, Jain AK, Liu Y.

IEEE Trans Pattern Anal Mach Intell. 2009 Nov;31(11):2000-14. doi: 10.1109/TPAMI.2008.235.

PMID:
19762927
[PubMed - indexed for MEDLINE]
13.

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.

Caragea C, Caragea D, Silvescu A, Honavar V.

BMC Bioinformatics. 2010 Oct 26;11 Suppl 8:S6. doi: 10.1186/1471-2105-11-S8-S6.

PMID:
21034431
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Assessing the druggability of protein-protein interactions by a supervised machine-learning method.

Sugaya N, Ikeda K.

BMC Bioinformatics. 2009 Aug 25;10:263. doi: 10.1186/1471-2105-10-263.

PMID:
19703312
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Sequential linear neighborhood propagation for semi-supervised protein function prediction.

Wang J, Li Y.

J Bioinform Comput Biol. 2011 Dec;9(6):663-79.

PMID:
22084007
[PubMed - indexed for MEDLINE]
16.

Supervised learning and prediction of physical interactions between human and HIV proteins.

Dyer MD, Murali TM, Sobral BW.

Infect Genet Evol. 2011 Jul;11(5):917-23. doi: 10.1016/j.meegid.2011.02.022. Epub 2011 Mar 5.

PMID:
21382517
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactions.

Yip KY, Gerstein M.

Bioinformatics. 2009 Jan 15;25(2):243-50. doi: 10.1093/bioinformatics/btn602. Epub 2008 Nov 17.

PMID:
19015141
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces.

Xia Z, Wu LY, Zhou X, Wong ST.

BMC Syst Biol. 2010 Sep 13;4 Suppl 2:S6. doi: 10.1186/1752-0509-4-S2-S6.

PMID:
20840733
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

Domain-oriented edge-based alignment of protein interaction networks.

Guo X, Hartemink AJ.

Bioinformatics. 2009 Jun 15;25(12):i240-6. doi: 10.1093/bioinformatics/btp202.

PMID:
19477994
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo.

Qi Y, Missiuro PE, Kapoor A, Hunter CP, Jaakkola TS, Gifford DK, Ge H.

Bioinformatics. 2006 Jul 15;22(14):e417-23.

PMID:
16873502
[PubMed - indexed for MEDLINE]
Free Article

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