Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13
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9781450323277

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MFMS

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500869 ◽

2013 ◽

Cited By ~ 8

Author(s):

Saeed Salem ◽

Cagri Ozcaglar

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A fast and scalable clustering-based approach for constructing reliable radiation hybrid maps

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500868 ◽

2013 ◽

Cited By ~ 2

Author(s):

Raed I. Seetan ◽

Ajay Kumar ◽

Anne M. Denton ◽

M. Javed Iqbal ◽

Omar Al-Azzam ◽

...

Keyword(s):

Radiation Hybrid ◽

Scalable Clustering

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Drug-target interaction prediction for drug repurposing with probabilistic similarity logic

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500870 ◽

2013 ◽

Cited By ~ 10

Author(s):

Shobeir Fakhraei ◽

Louiqa Raschid ◽

Lise Getoor

Keyword(s):

Drug Target ◽

Drug Repurposing ◽

Target Interaction ◽

Interaction Prediction

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Mining spatially cohesive itemsets in protein molecular structures

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500871 ◽

2013 ◽

Cited By ~ 1

Author(s):

Cheng Zhou ◽

Pieter Meysman ◽

Boris Cule ◽

Kris Laukens ◽

Bart Goethals

Keyword(s):

Molecular Structures

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Heuristic approaches for time-lagged biclustering

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500865 ◽

2013 ◽

Cited By ~ 1

Author(s):

Joana P. Gonçalves ◽

Sara C. Madeira

Keyword(s):

Heuristic Approaches ◽

Time Lagged

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Signal detection in genome sequences using complexity based features

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500867 ◽

2013 ◽

Author(s):

Mehdi Kargar ◽

Aijun An ◽

Nick Cercone ◽

Kayvan Tirdad ◽

Morteza Zihayat

Keyword(s):

Signal Detection ◽

Genome Sequences

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Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13 ◽

10.1145/2500863.2500866 ◽

2013 ◽

Cited By ~ 2

Author(s):

Sabeur Aridhi ◽

Mondher Maddouri ◽

Haitham Sghaier ◽

Engelbert Mephu Nguifo

Keyword(s):

Ionizing Radiation ◽

Learning Model ◽

Multiple Instance Learning ◽

Resistant Bacteria ◽

Phenotype Prediction ◽

Radiation Resistant

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Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

MFMS

A fast and scalable clustering-based approach for constructing reliable radiation hybrid maps

Drug-target interaction prediction for drug repurposing with probabilistic similarity logic

Mining spatially cohesive itemsets in protein molecular structures

Heuristic approaches for time-lagged biclustering

Signal detection in genome sequences using complexity based features

Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics - BioKDD '13
Latest Publications