-
1
-
-
33646568805
-
Gene prioritization through genomic data fusion
-
May, 537
-
S. Aerts, D. Lambrechts, S. Maity, P.V. Loo, B. Coessens, F.D. Smet, L. Tranchevent, B.D. Moor, P. Marynen, B. Hassan, P. Carmeliet, and Y. Moreau, Gene prioritization through genomic data fusion, Nature Biotechnology 24(5) (May 2006), 544, 537.
-
(2006)
Nature Biotechnology
, vol.24
, Issue.5
, pp. 544
-
-
Aerts, S.1
Lambrechts, D.2
Maity, S.3
Loo, P.V.4
Coessens, B.5
Smet, F.D.6
Tranchevent, L.7
Moor, B.D.8
Marynen, P.9
Hassan, B.10
Carmeliet, P.11
Moreau, Y.12
-
2
-
-
9144232912
-
UniProt: The universal protein knowledgebase
-
R. Apweiler, A. Bairoch, C.H. Wu, W.C. Barker, B. Boeckmann, S. Ferro, E. Gasteiger, H. Huang, R. Lopez, M. Magrane, et al., UniProt: The universal protein knowledgebase, Nucleic Acids Research 32(Database Issue) (2004), D115.
-
(2004)
Nucleic Acids Research
, vol.32
-
-
Apweiler, R.1
Bairoch, A.2
Wu, C.H.3
Barker, W.C.4
Boeckmann, B.5
Ferro, S.6
Gasteiger, E.7
Huang, H.8
Lopez, R.9
Magrane, M.10
-
3
-
-
70350086542
-
-
The Semantic Web
-
S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives, DBpedia: A nucleus for a web of open data, The Semantic Web (2008).
-
(2008)
DBpedia: A Nucleus for A Web of Open Data
-
-
Auer, S.1
Bizer, C.2
Kobilarov, G.3
Lehmann, J.4
Cyganiak, R.5
Ives, Z.6
-
4
-
-
79951592132
-
Deductive and inductive stream reasoning for semantic social media analytics
-
D. Barbieri, D. Braga, S. Ceri, E.D. Valle, Y. Huang, V. Tresp, A. Rettinger, and H.Wermser, Deductive and inductive stream reasoning for semantic social media analytics, IEEE Intelligent Systems 99 (2010).
-
(2010)
IEEE Intelligent Systems
, vol.99
-
-
Barbieri, D.1
Braga, D.2
Ceri, S.3
Valle, E.D.4
Huang, Y.5
Tresp, V.6
Rettinger, A.7
Wermser, H.8
-
5
-
-
48249158190
-
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
-
F. Belleau, M.A. Nolin, N. Tourigny, P. Rigault, and J. Morissette, Bio2RDF: Towards a mashup to build bioinformatics knowledge systems, Journal of Biomedical Informatics 41(5) (2008).
-
(2008)
Journal of Biomedical Informatics
, vol.41
, Issue.5
-
-
Belleau, F.1
Nolin, M.A.2
Tourigny, N.3
Rigault, P.4
Morissette, J.5
-
12
-
-
67849130563
-
ToppGene suite for gene list enrichment analysis and candidate gene prioritization
-
J. Chen, E.E. Bardes, B.J. Aronow, and A.G. Jegga, ToppGene suite for gene list enrichment analysis and candidate gene prioritization, Nucleic Acids Research 37 (2009).
-
(2009)
Nucleic Acids Research
, vol.37
-
-
Chen, J.1
Bardes, E.E.2
Aronow, B.J.3
Jegga, A.G.4
-
13
-
-
38049136610
-
Improved human disease candidate gene prioritization using mouse phenotype
-
J. Chen, H. Xu, B. Aronow, and A. Jegga, Improved human disease candidate gene prioritization using mouse phenotype, BMC Bioinformatics 8(1) (2007), 392.
-
(2007)
BMC Bioinformatics
, vol.8
, Issue.1
, pp. 392
-
-
Chen, J.1
Xu, H.2
Aronow, B.3
Jegga, A.4
-
17
-
-
51849151521
-
Lifted first-order probabilistic inference
-
L. Getoor and B. Taskar, eds, MIT Press
-
R. de Salvo Braz, E. Amir, and D. Roth, Lifted first-order probabilistic inference, in: Introduction to Statistical Relational Learning, L. Getoor and B. Taskar, eds, MIT Press, 2007.
-
(2007)
Introduction to Statistical Relational Learning
-
-
De Braz Salvo, R.1
Amir, E.2
Roth, D.3
-
18
-
-
53349100683
-
Markov logic: A unifying framework for statistical relational learning
-
L. Getoor and B. Taskar, eds, MIT Press
-
P. Domingos and M. Richardson, Markov logic: A unifying framework for statistical relational learning, in: Introduction to Statistical Relational Learning, L. Getoor and B. Taskar, eds, MIT Press, 2007.
-
(2007)
Introduction to Statistical Relational Learning
-
-
Domingos, P.1
Richardson, M.2
-
20
-
-
82255176534
-
Triplerank: Ranking Semantic Web data by tensor decomposition
-
T. Franz, A. Schultz, S. Sizov, and S. Staab, Triplerank: Ranking Semantic Web data by tensor decomposition, in: 8th International Semantic Web Conference (ISWC2009), 2009.
-
(2009)
8th International Semantic Web Conference (ISWC2009)
-
-
Franz, T.1
Schultz, A.2
Sizov, S.3
Staab, S.4
-
21
-
-
4444288656
-
Kernels and distances for structured data
-
T. Gärtner, J. Lloyd, and P. Flach, Kernels and distances for structured data, Machine Learning 57(3) (2004).
-
(2004)
Machine Learning
, vol.57
, Issue.3
-
-
Gärtner, T.1
Lloyd, J.2
Flach, P.3
-
23
-
-
47849098175
-
Probabilistic relational models
-
L. Getoor and B. Taskar, eds, MIT Press
-
L. Getoor, N. Friedman, D. Koller, A. Pferrer, and B. Taskar, Probabilistic relational models, in: Introduction to Statistical Relational Learning, L. Getoor and B. Taskar, eds, MIT Press, 2007.
-
(2007)
Introduction to Statistical Relational Learning
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Pferrer, A.4
Taskar, B.5
-
24
-
-
13444266370
-
Online mendelian inheritance in man (OMIM), a knowledgebase of human genes and genetic disorders
-
A. Hamosh, A.F. Scott, J.S. Amberger, C.A. Bocchini, and V.A. McKusick, Online mendelian inheritance in man (OMIM), a knowledgebase of human genes and genetic disorders, Nucleic Acids Research 33(Database Issue) (2005), D514.
-
(2005)
Nucleic Acids Research
, vol.33
-
-
Hamosh, A.1
Scott, A.F.2
Amberger, J.S.3
Bocchini, C.A.4
McKusick, V.A.5
-
25
-
-
0036088113
-
PharmGKB: The pharmacogenetics knowledge base
-
M. Hewett, D.E. Oliver, D.L. Rubin, K.L. Easton, J.M. Stuart, R.B. Altman, and T.E. Klein, PharmGKB: The pharmacogenetics knowledge base, Nucleic Acids Research 30(1) (2002), 163.
-
(2002)
Nucleic Acids Research
, vol.30
, Issue.1
, pp. 163
-
-
Hewett, M.1
Oliver, D.E.2
Rubin, D.L.3
Easton, K.L.4
Stuart, J.M.5
Altman, R.B.6
Klein, T.E.7
-
26
-
-
80052755028
-
Multivariate structured prediction for learning on the Semantic Web
-
Y. Huang, M. Bundschus, V. Tresp, A. Rettinger, and H.P. Kriegel, Multivariate structured prediction for learning on the Semantic Web, in: Proc. of the 20th International Conference on Inductive Logic Programming (ILP), 2010.
-
(2010)
Proc. of the 20th International Conference on Inductive Logic Programming (ILP)
-
-
Huang, Y.1
Bundschus, M.2
Tresp, V.3
Rettinger, A.4
Kriegel, H.P.5
-
27
-
-
84890069531
-
A scalable kernel approach to learning in semantic graphs with applications to linked data
-
Y. Huang, M. Nickel, V. Tresp, and H.P. Kriegel, A scalable kernel approach to learning in semantic graphs with applications to linked data, in: 1st Workshop on Mining the Future Internet, 2010.
-
(2010)
1st Workshop on Mining the Future Internet
-
-
Huang, Y.1
Nickel, M.2
Tresp, V.3
Kriegel, H.P.4
-
30
-
-
84918542642
-
Combining information extraction, deductive reasoning and machine learning for relation prediction
-
X. Jiang, Y. Huang, M. Nickel, and V. Tresp, Combining information extraction, deductive reasoning and machine learning for relation prediction, in: Proc. of the 9st Extended Semantic Web Conference, 2012.
-
(2012)
Proc. of the 9st Extended Semantic Web Conference
-
-
Jiang, X.1
Huang, Y.2
Nickel, M.3
Tresp, V.4
-
31
-
-
13444259844
-
Reactome: A knowledgebase of biological pathways
-
G. Joshi-Tope, M. Gillespie, I. Vastrik, P. D'Eustachio, E. Schmidt, B.D. Bono, B. Jassal, G.R. Gopinath, G.R. Wu, L. Matthews, et al., Reactome: A knowledgebase of biological pathways, Nucleic Acids Research 33(Database Issue) (2005), D428.
-
(2005)
Nucleic Acids Research
, vol.33
-
-
Joshi-Tope, G.1
Gillespie, M.2
Vastrik, I.3
D'eustachio, P.4
Schmidt, E.5
Bono, B.D.6
Jassal, B.7
Gopinath, G.R.8
Wu, G.R.9
Matthews, L.10
-
32
-
-
77950351474
-
Advances in translational bioinformatics: Computational approaches for the hunting of disease genes
-
M.G. Kann, Advances in translational bioinformatics: Computational approaches for the hunting of disease genes, Briefings in Bioinformatics 11(1) (2010), 96.
-
(2010)
Briefings in Bioinformatics
, vol.11
, Issue.1
, pp. 96
-
-
Kann, M.G.1
-
33
-
-
33750696648
-
Learning systems of concepts with an infinite relational model
-
C. Kemp, J.B. Tenenbaum, T.L. Griffiths, T. Yamada, and N. Ueda, Learning systems of concepts with an infinite relational model, in: Proc. of the National Conference on Artificial Intelligence (AAAI), 2006.
-
(2006)
Proc. of the National Conference on Artificial Intelligence (AAAI)
-
-
Kemp, C.1
Tenenbaum, J.B.2
Griffiths, T.L.3
Yamada, T.4
Ueda, N.5
-
34
-
-
70349957476
-
Adding data mining support to SPARQL via statistical relational learning methods
-
Springer-Verlag
-
C. Kiefer, A. Bernstein, and A. Locher, Adding data mining support to SPARQL via statistical relational learning methods, in: Extended Semantic Web Conference 2008, Springer-Verlag, 2008.
-
(2008)
Extended Semantic Web Conference 2008
-
-
Kiefer, C.1
Bernstein, A.2
Locher, A.3
-
35
-
-
33750734364
-
KFOIL: Learning simple relational kernels
-
N. Landwehr, A. Passerini, L. De Raedt, and P. Frasconi, kFOIL: Learning simple relational kernels, in: Proc. of the National Conference on Artificial Intelligence (AAAI), 2006.
-
(2006)
Proc. of the National Conference on Artificial Intelligence (AAAI)
-
-
Landwehr, N.1
Passerini, A.2
De Raedt, L.3
Frasconi, P.4
-
37
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D.D. Lee and H.S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature (1999).
-
(1999)
Nature
-
-
Lee, D.D.1
Seung, H.S.2
-
43
-
-
13444262384
-
CDD: A conserved domain database for protein classification
-
A. Marchler-Bauer, J.B. Anderson, P.F. Cherukuri, C. DeWeese-Scott, L.Y. Geer, M. Gwadz, S. He, D.I. Hurwitz, J.D. Jackson, Z. Ke, et al., CDD: A conserved domain database for protein classification, Nucleic Acids Research 33(Database Issue) (2005), D192.
-
(2005)
Nucleic Acids Research
, vol.33
-
-
Marchler-Bauer, A.1
Anderson, J.B.2
Cherukuri, P.F.3
Deweese-Scott, C.4
Geer, L.Y.5
Gwadz, M.6
He, S.7
Hurwitz, D.I.8
Jackson, J.D.9
Ke, Z.10
-
44
-
-
33748502967
-
The comparative toxicogenomics database (CTD): A resource for comparative toxicological studies
-
C. Mattingly, M. Rosenstein, G. Colby, J. Forrest Jr, and J. Boyer, The comparative toxicogenomics database (CTD): A resource for comparative toxicological studies, Journal of Experimental Zoology. Part A, Comparative Experimental Biology 305(9) (2006), 689.
-
(2006)
Journal of Experimental Zoology. Part A, Comparative Experimental Biology
, vol.305
, Issue.9
, pp. 689
-
-
Mattingly, C.1
Rosenstein, M.2
Colby, G.3
Forrest Jr., J.4
Boyer, J.5
-
46
-
-
84859912340
-
Expanding the pathway and interaction knowledge in Linked Life Data
-
V. Momtchev, D. Peychev, T. Primov, and G. Georgiev, Expanding the pathway and interaction knowledge in Linked Life Data, in: Proc. of International SemanticWeb Challenge, 2009.
-
(2009)
Proc. of International SemanticWeb Challenge
-
-
Momtchev, V.1
Peychev, D.2
Primov, T.3
Georgiev, G.4
-
48
-
-
33646363498
-
Support vector inductive logic programming
-
A. Hoffmann, H. Motoda, and T. Scheffer, eds, LNCS, Vol. 3735, Springer
-
S. Muggleton, H. Lodhi, A. Amini, and M.J.E. Sternberg, Support vector inductive logic programming, in: Proc. of the 8th International Conference on Discovery Science, A. Hoffmann, H. Motoda, and T. Scheffer, eds, LNCS, Vol. 3735, Springer, 2005.
-
(2005)
Proc. of the 8th International Conference on Discovery Science
-
-
Muggleton, S.1
Lodhi, H.2
Amini, A.3
Sternberg, M.J.E.4
-
52
-
-
9144236198
-
Human protein reference database as a discovery resource for proteomics
-
S. Peri, J.D. Navarro, T.Z. Kristiansen, R. Amanchy, V. Surendranath, B. Muthusamy, T.K.B. Gandhi, K.N. Chandrika, N. Deshpande, S. Suresh, et al., Human protein reference database as a discovery resource for proteomics, Nucleic Acids Research 32(Database Issue) (2004), D497.
-
(2004)
Nucleic Acids Research
, vol.32
-
-
Peri, S.1
Navarro, J.D.2
Kristiansen, T.Z.3
Amanchy, R.4
Surendranath, V.5
Muthusamy, B.6
Gandhi, T.K.B.7
Chandrika, K.N.8
Deshpande, N.9
Suresh, S.10
-
54
-
-
0001172265
-
Learning logical definitions from relations
-
J.R. Quinlan, Learning logical definitions from relations, Machine Learning 5(3) (1990).
-
(1990)
Machine Learning
, vol.5
, Issue.3
-
-
Quinlan, J.R.1
-
55
-
-
47349128648
-
An integrated approach to inferring gene-disease associations in humans
-
P. Radivojac, K. Peng, W.T. Clark, B.J. Peters, A. Mohan, S.M. Boyle, and S.D. Mooney, An integrated approach to inferring gene-disease associations in humans, Proteins 72 (2008).
-
(2008)
Proteins
, vol.72
-
-
Radivojac, P.1
Peng, K.2
Clark, W.T.3
Peters, B.J.4
Mohan, A.5
Boyle, S.M.6
Mooney, S.D.7
-
56
-
-
78149286455
-
A theory of inductive query answering
-
L.D. Raedt, M. Jaeger, S.D. Lee, and H. Mannila, A theory of inductive query answering, in: Proc. of the IEEE International Conference on Data Mining, 2002.
-
(2002)
Proc. of the IEEE International Conference on Data Mining
-
-
Raedt, L.D.1
Jaeger, M.2
Lee, S.D.3
Mannila, H.4
-
59
-
-
84870679926
-
Mining the Semantic Web-Statistical learning for next generation knowledge bases
-
A. Rettinger, U. Lösch, V. Tresp, C. d'Amato, and N. Fanizzi, Mining the Semantic Web-Statistical learning for next generation knowledge bases, Data Mining and Knowledge Discovery (2012).
-
(2012)
Data Mining and Knowledge Discovery
-
-
Rettinger, A.1
Lösch, U.2
Tresp, V.3
D'amato, C.4
Fanizzi, N.5
-
60
-
-
33644873184
-
BioGRID: A general repository for interaction datasets
-
C. Stark, B.J. Breitkreutz, T. Reguly, L. Boucher, A. Breitkreutz, and M. Tyers, BioGRID: A general repository for interaction datasets, Nucleic Acids Research 34(Database Issue) (2006), D535.
-
(2006)
Nucleic Acids Research
, vol.34
-
-
Stark, C.1
Breitkreutz, B.J.2
Reguly, T.3
Boucher, L.4
Breitkreutz, A.5
Tyers, M.6
-
64
-
-
34247477574
-
Link prediction in relational data
-
B. Taskar, M.F. Wong, P. Abbeel, and D. Koller, Link prediction in relational data, in: Proc. of Advances in Neural Information Processing Systems, 2003.
-
(2003)
Proc. of Advances in Neural Information Processing Systems
-
-
Taskar, B.1
Wong, M.F.2
Abbeel, P.3
Koller, D.4
-
67
-
-
58449126960
-
Towards machine learning on the semantic web
-
Springer
-
V. Tresp, M. Bundschus, A. Rettinger, and Y. Huang, Towards Machine Learning on the Semantic Web, in: Uncertainty Reasoning for the Semantic Web I. Lecture Notes in AI, Springer, 2008.
-
(2008)
Uncertainty Reasoning for the Semantic Web I. Lecture Notes in AI
-
-
Tresp, V.1
Bundschus, M.2
Rettinger, A.3
Huang, Y.4
-
68
-
-
84887239727
-
Materializing and querying learned knowledge
-
V. Tresp, Y. Huang, M. Bundschus, and A. Rettinger, Materializing and querying learned knowledge, in: Proc. of the First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, 2009.
-
(2009)
Proc. of the First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web
-
-
Tresp, V.1
Huang, Y.2
Bundschus, M.3
Rettinger, A.4
-
72
-
-
54249116223
-
Infinite hidden relational models
-
Z. Xu, V. Tresp, K. Yu, and H.P. Kriegel, Infinite hidden relational models, in: Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI), 2006.
-
(2006)
Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI)
-
-
Xu, Z.1
Tresp, V.2
Yu, K.3
Kriegel, H.P.4
-
73
-
-
85052345401
-
Stochastic relational models for discriminative link prediction
-
K. Yu, W. Chu, S. Yu, V. Tresp, and Z. Xu, Stochastic relational models for discriminative link prediction, in: Proc. of Advances in Neural Information Processing Systems, 2006.
-
(2006)
Proc. of Advances in Neural Information Processing Systems
-
-
Yu, K.1
Chu, W.2
Yu, S.3
Tresp, V.4
Xu, Z.5
-
74
-
-
33745456231
-
-
Technical report, Computer Sciences TR 1530 University of Wisconsin Madison
-
X. Zhu, Semi-supervised learning literature survey, Technical report, Computer Sciences TR 1530 University of Wisconsin Madison, 2006.
-
(2006)
Semi-supervised Learning Literature Survey
-
-
Zhu, X.1
|