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mybibfile.bib
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@techreport{haussler1999convolution,
title={Convolution kernels on discrete structures},
author={Haussler, David},
year={1999},
institution={Technical report, Department of Computer Science, University of California at Santa Cruz}
}
@inproceedings{kondor2002diffusion,
title={Diffusion kernels on graphs and other discrete input spaces},
author={Kondor, Risi Imre and Lafferty, John},
booktitle={ICML},
volume={2},
pages={315--322},
year={2002}
}
@inproceedings{fouss2006experimental,
title={An experimental investigation of graph kernels on a collaborative recommendation task},
author={Fouss, Francois and Yen, Luh and Pirotte, Alain and Saerens, Marco},
booktitle={Data Mining, 2006. ICDM'06. Sixth International Conference on},
pages={863--868},
year={2006},
organization={IEEE}
}
@inproceedings{costa2010fast,
title={Fast neighborhood subgraph pairwise distance kernel},
author={Costa, Fabrizio and De Grave, Kurt},
booktitle={Proceedings of the 26th International Conference on Machine Learning},
pages={255--262},
year={2010},
organization={Omnipress}
}
@inproceedings{borgwardt2005shortest,
title={Shortest-path kernels on graphs},
author={Borgwardt, Karsten M and Kriegel, Hans-Peter},
booktitle={Data Mining, Fifth IEEE International Conference on},
pages={8--pp},
year={2005},
organization={IEEE}
}
@inproceedings{shervashidze2009fast,
title={Fast subtree kernels on graphs},
author={Shervashidze, Nino and Borgwardt, Karsten M},
booktitle={Advances in neural information processing systems},
pages={1660--1668},
year={2009}
}
@article{chen2014disease,
title={Disease gene identification by using graph kernels and Markov random fields},
author={Chen, BoLin and Li, Min and Wang, JianXin and Wu, Fang-Xiang},
journal={Science China. Life Sciences},
volume={57},
number={11},
pages={1054},
year={2014},
publisher={Springer Science \& Business Media}
}
@article{chebotarev2006matrix,
title={The matrix-forest theorem and measuring relations in small social groups},
author={Chebotarev, Pavel and Shamis, Elena},
journal={arXiv preprint math/0602070},
year={2006}
}
@article{goh2007human,
title={The human disease network},
author={Goh, Kwang-Il and Cusick, Michael E and Valle, David and Childs, Barton and Vidal, Marc and Barab{\'a}si, Albert-L{\'a}szl{\'o}},
journal={Proceedings of the National Academy of Sciences},
volume={104},
number={21},
pages={8685--8690},
year={2007},
publisher={National Acad Sciences}
}
@article{alvarez2005k,
title={k-core decomposition: A tool for the visualization of large scale networks},
author={Alvarez-Hamelin, Jos{\'e} Ignacio and Dall'Asta, Luca and Barrat, Alain and Vespignani, Alessandro},
journal={arXiv preprint cs/0504107},
year={2005}
}
@article{tarjan1985decomposition,
title={Decomposition by clique separators},
author={Tarjan, Robert E},
journal={Discrete mathematics},
volume={55},
number={2},
pages={221--232},
year={1985},
publisher={Elsevier}
}
@article{gene2004gene,
title={The Gene Ontology (GO) database and informatics resource},
author={Gene Ontology Consortium and others},
journal={Nucleic acids research},
volume={32},
number={suppl 1},
pages={D258--D261},
year={2004},
publisher={Oxford Univ Press}
}
@article{mordelet2011prodige,
title={ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples},
author={Mordelet, Fantine and Vert, Jean-Philippe},
journal={BMC bioinformatics},
volume={12},
number={1},
pages={389},
year={2011},
publisher={BioMed Central}
}
@article{valentini2014extensive,
title={An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods},
author={Valentini, Giorgio and Paccanaro, Alberto and Caniza, Horacio and Romero, Alfonso E and Re, Matteo},
journal={Artificial Intelligence in Medicine},
volume={61},
number={2},
pages={63--78},
year={2014},
publisher={Elsevier}
}
@article{gartner2003survey,
title={A survey of kernels for structured data},
author={G{\"a}rtner, Thomas},
journal={ACM SIGKDD Explorations Newsletter},
volume={5},
number={1},
pages={49--58},
year={2003},
publisher={ACM}
}
@article{shervashidze2011weisfeiler,
title={Weisfeiler-lehman graph kernels},
author={Shervashidze, Nino and Schweitzer, Pascal and Leeuwen, Erik Jan van and Mehlhorn, Kurt and Borgwardt, Karsten M},
journal={Journal of Machine Learning Research},
volume={12},
number={Sep},
pages={2539--2561},
year={2011}
}