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.
133 related articles for article (PubMed ID: 16253222)
1. Probabilistic prediction of protein-protein interactions from the protein sequences. Chinnasamy A; Mittal A; Sung WK Comput Biol Med; 2006 Oct; 36(10):1143-54. PubMed ID: 16253222 [TBL] [Abstract][Full Text] [Related]
2. Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure. Lewis DP; Jebara T; Noble WS Bioinformatics; 2006 Nov; 22(22):2753-60. PubMed ID: 16966363 [TBL] [Abstract][Full Text] [Related]
3. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence. Li X; Cai H; Xu J; Ying S; Zhang Y Amino Acids; 2010 Apr; 38(4):1237-52. PubMed ID: 19669079 [TBL] [Abstract][Full Text] [Related]
4. The context-tree kernel for strings. Cuturi M; Vert JP Neural Netw; 2005 Oct; 18(8):1111-23. PubMed ID: 16198086 [TBL] [Abstract][Full Text] [Related]
5. Probabilistic prediction and ranking of human protein-protein interactions. Scott MS; Barton GJ BMC Bioinformatics; 2007 Jul; 8():239. PubMed ID: 17615067 [TBL] [Abstract][Full Text] [Related]
6. A regularized discriminative model for the prediction of protein-peptide interactions. Lehrach WP; Husmeier D; Williams CK Bioinformatics; 2006 Mar; 22(5):532-40. PubMed ID: 16397010 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 17518762 [TBL] [Abstract][Full Text] [Related]
8. Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models. Schliebs S; Defoin-Platel M; Worner S; Kasabov N Neural Netw; 2009; 22(5-6):623-32. PubMed ID: 19615855 [TBL] [Abstract][Full Text] [Related]
9. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks. Werhli AV; Grzegorczyk M; Husmeier D Bioinformatics; 2006 Oct; 22(20):2523-31. PubMed ID: 16844710 [TBL] [Abstract][Full Text] [Related]
10. An integrative approach for predicting interactions of protein regions. Schelhorn SE; Lengauer T; Albrecht M Bioinformatics; 2008 Aug; 24(16):i35-41. PubMed ID: 18689837 [TBL] [Abstract][Full Text] [Related]
11. Prediction of turn types in protein structure by machine-learning classifiers. Meissner M; Koch O; Klebe G; Schneider G Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702 [TBL] [Abstract][Full Text] [Related]
12. Improving protein protein interaction prediction based on phylogenetic information using a least-squares support vector machine. Craig RA; Liao L Ann N Y Acad Sci; 2007 Dec; 1115():154-67. PubMed ID: 17925357 [TBL] [Abstract][Full Text] [Related]
13. Prediction of Ras-effector interactions using position energy matrices. Kiel C; Serrano L Bioinformatics; 2007 Sep; 23(17):2226-30. PubMed ID: 17599936 [TBL] [Abstract][Full Text] [Related]
15. Bayesian methods for predicting interacting protein pairs using domain information. Kim I; Liu Y; Zhao H Biometrics; 2007 Sep; 63(3):824-33. PubMed ID: 17825014 [TBL] [Abstract][Full Text] [Related]
16. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure. Song J; Yuan Z; Tan H; Huber T; Burrage K Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444 [TBL] [Abstract][Full Text] [Related]
17. An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies. Lancashire LJ; Lemetre C; Ball GR Brief Bioinform; 2009 May; 10(3):315-29. PubMed ID: 19307287 [TBL] [Abstract][Full Text] [Related]
18. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences. Wang Y; You Z; Li X; Chen X; Jiang T; Zhang J Int J Mol Sci; 2017 May; 18(5):. PubMed ID: 28492483 [TBL] [Abstract][Full Text] [Related]
19. PFP: Automated prediction of gene ontology functional annotations with confidence scores using protein sequence data. Hawkins T; Chitale M; Luban S; Kihara D Proteins; 2009 Feb; 74(3):566-82. PubMed ID: 18655063 [TBL] [Abstract][Full Text] [Related]
20. Bayesian networks for multivariate data analysis and prognostic modelling in cardiac surgery. Peek N; Verduijn M; Rosseel PM; de Jonge E; de Mol BA Stud Health Technol Inform; 2007; 129(Pt 1):596-600. PubMed ID: 17911786 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]