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Items: 1 to 20 of 93

1.

Creation and implications of a phenome-genome network.

Butte AJ, Kohane IS.

Nat Biotechnol. 2006 Jan;24(1):55-62.

2.

Extraction of biological interaction networks from scientific literature.

Skusa A, Rüegg A, Köhler J.

Brief Bioinform. 2005 Sep;6(3):263-76. Review.

PMID:
16212774
3.

Supervised inference of gene-regulatory networks.

To CC, Vohradsky J.

BMC Bioinformatics. 2008 Jan 4;9:2. doi: 10.1186/1471-2105-9-2.

4.

Data mining and predictive modeling of biomolecular network from biomedical literature databases.

Hu X, Wu DD.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Apr-Jun;4(2):251-63.

PMID:
17473318
5.

An unsupervised approach to predict functional relations between genes based on expression data.

Altaf-Ul-Amin M, Katsuragi T, Sato T, Ono N, Kanaya S.

Biomed Res Int. 2014;2014:154594. doi: 10.1155/2014/154594. Epub 2014 Mar 31.

6.

A Unified Medical Language System (UMLS) based system for Literature-Based Discovery in medicine.

Gabetta M, Larizza C, Bellazzi R.

Stud Health Technol Inform. 2013;192:412-6.

PMID:
23920587
7.

Automatic reconstruction of a bacterial regulatory network using Natural Language Processing.

Rodríguez-Penagos C, Salgado H, Martínez-Flores I, Collado-Vides J.

BMC Bioinformatics. 2007 Aug 7;8:293.

8.

Joint learning of gene functions--a Bayesian network model approach.

Deng X, Geng H, Ali HH.

J Bioinform Comput Biol. 2006 Apr;4(2):217-39.

PMID:
16819781
9.

Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.

Daraselia N, Yuryev A, Egorov S, Mazo I, Ispolatov I.

BMC Bioinformatics. 2007 Jul 10;8:243.

10.

Reverse engineering gene regulatory networks.

Hartemink AJ.

Nat Biotechnol. 2005 May;23(5):554-5. No abstract available.

PMID:
15877071
11.
12.

Discovering molecular pathways from protein interaction and gene expression data.

Segal E, Wang H, Koller D.

Bioinformatics. 2003;19 Suppl 1:i264-71.

PMID:
12855469
13.

Identifying projected clusters from gene expression profiles.

Yip KY, Cheung DW, Ng MK, Cheung KH.

J Biomed Inform. 2004 Oct;37(5):345-57.

14.

Clustering biological annotations and gene expression data to identify putatively co-regulated biological processes.

Henegar C, Cancello R, Rome S, Vidal H, Clément K, Zucker JD.

J Bioinform Comput Biol. 2006 Aug;4(4):833-52.

PMID:
17007070
15.

Annotating proteins by mining protein interaction networks.

Kirac M, Ozsoyoglu G, Yang J.

Bioinformatics. 2006 Jul 15;22(14):e260-70.

PMID:
16873481
16.

An integrative network approach to map the transcriptome to the phenome.

Mehan MR, Nunez-Iglesias J, Kalakrishnan M, Waterman MS, Zhou XJ.

J Comput Biol. 2009 Aug;16(8):1023-34. doi: 10.1089/cmb.2009.0037.

17.

Automatic extension of Gene Ontology with flexible identification of candidate terms.

Lee JB, Kim JJ, Park JC.

Bioinformatics. 2006 Mar 15;22(6):665-70. Epub 2006 Jan 21.

PMID:
16428805
18.

Combined application of behavior genetics and microarray analysis to identify regional expression themes and gene-behavior associations.

Letwin NE, Kafkafi N, Benjamini Y, Mayo C, Frank BC, Luu T, Lee NH, Elmer GI.

J Neurosci. 2006 May 17;26(20):5277-87.

19.

Assessment of disease named entity recognition on a corpus of annotated sentences.

Jimeno A, Jimenez-Ruiz E, Lee V, Gaudan S, Berlanga R, Rebholz-Schuhmann D.

BMC Bioinformatics. 2008 Apr 11;9 Suppl 3:S3. doi: 10.1186/1471-2105-9-S3-S3.

20.

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