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1.
745 Accesses
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Caipirini: using gene sets to rank literature
Theodoros G Soldatos, Sean I O'Donoghue, Venkata P Satagopam, Adriano Barbosa-Silva, Georgios A Pavlopoulos, Ana Carolina Wanderley-Nogueira, Nina Mota Soares-Cavalcanti, Reinhard Schneider BioData Mining 2012, 5:1 (1 February 2012)
Abstract | Provisional PDF
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Editor’s summary
'Caipirini', a new software program, allows ranking of biomedical literature based on biological relevance to gene sets, thereby enabling data from these high-throughput experiments to be more easily accessed.
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2.
469 Accesses
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Using graph theory to analyze biological networks
Georgios A Pavlopoulos, Maria Secrier, Charalampos N Moschopoulos, Theodoros G Soldatos, Sophia Kossida, Jan Aerts, Reinhard Schneider, Pantelis G Bagos BioData Mining 2011, 4:10 (28 April 2011)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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3.
358 Accesses
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A survey of visualization tools for biological network analysis
Georgios A Pavlopoulos, Anna-Lynn Wegener, Reinhard Schneider BioData Mining 2008, 1:12 (28 November 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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4.
303 Accesses
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A reference guide for tree analysis and visualization
Georgios A Pavlopoulos, Theodoros G Soldatos, Adriano Barbosa-Silva, Reinhard Schneider BioData Mining 2010, 3:1 (22 February 2010)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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5.
237 Accesses
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Interpol: An R package for preprocessing of protein sequences
Dominik Heider, Daniel Hoffmann BioData Mining 2011, 4:16 (17 June 2011)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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6.
223 Accesses
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Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers
J Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, Martin Pyka, Jens Verheyen, Daniel Hoffmann, Dominik Heider BioData Mining 2011, 4:26 (14 November 2011)
Abstract | Full text | PDF | PubMed
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Editor’s summary
Machine-learning can be used to predict the resistance of HIV-1 to antiretroviral drugs like Bevirimat in order to identify which patients will benefit from these new drugs, thereby improving the provision of a personalized therapy.
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7.
205 Accesses
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A review of estimation of distribution algorithms in bioinformatics
Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Flores, Jose Lozano, Yves Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga BioData Mining 2008, 1:6 (11 September 2008)
Abstract | Full text | PDF | PubMed
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8.
202 Accesses
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Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database
Masanori Arita, Kazuhiro Suwa BioData Mining 2008, 1:7 (17 September 2008)
Abstract | Full text | PDF | PubMed
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9.
190 Accesses
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Fast Gene Ontology based clustering for microarray experiments
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi BioData Mining 2008, 1:11 (21 November 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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10.
189 Accesses
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An R package implementation of multifactor dimensionality reduction
Stacey J Winham, Alison A Motsinger-Reif BioData Mining 2011, 4:24 (16 August 2011)
Abstract | Full text | PDF | PubMed
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11.
185 Accesses
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Comprehensive analysis of human microRNA target networks
Jun-ichi Satoh, Hiroko Tabunoki BioData Mining 2011, 4:17 (17 June 2011)
Abstract | Full text | PDF | PubMed
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12.
181 Accesses
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Partitioning clustering algorithms for protein sequence data sets
Sondes Fayech, Nadia Essoussi, Mohamed Limam BioData Mining 2009, 2:3 (2 April 2009)
Abstract | Full text | PDF | PubMed
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13.
169 Accesses
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Fast approximate hierarchical clustering using similarity heuristics
Meelis Kull, Jaak Vilo BioData Mining 2008, 1:9 (22 September 2008)
Abstract | Full text | PDF | PubMed
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14.
161 Accesses
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Mining the diseasome
Davnah Urbach, Jason H Moore BioData Mining 2011, 4:25 (9 September 2011)
Abstract | Full text | PDF | PubMed
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15.
152 Accesses
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A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data
Wassim Ayadi, Mourad Elloumi, Jin-Kao Hao BioData Mining 2009, 2:9 (16 December 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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16.
144 Accesses
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Discrete derivative: a data slicing algorithm for exploration of sharing biological networks between rheumatoid arthritis and coronary heart disease
Guang Zheng, Miao Jiang, Xiaojuan He, Jing Zhao, Hongtao Guo, Gao Chen, Qinglin Zha, Aiping Lu BioData Mining 2011, 4:18 (23 June 2011)
Abstract | Full text | PDF | PubMed
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17.
144 Accesses
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Clustering-based approaches to SAGE data mining
Haiying Wang, Huiru Zheng, Francisco Azuaje BioData Mining 2008, 1:5 (17 July 2008)
Abstract | Full text | PDF | PubMed
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18.
142 Accesses
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Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments
Ole Schulz-Trieglaff, Egidijus Machtejevas, Knut Reinert, Hartmut Schlüter, Joachim Thiemann, Klaus Unger BioData Mining 2009, 2:4 (7 April 2009)
Abstract | Full text | PDF | PubMed
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19.
134 Accesses
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Neural networks for genetic epidemiology: past, present, and future
Alison A Motsinger-Reif, Marylyn D Ritchie BioData Mining 2008, 1:3 (17 July 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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20.
133 Accesses
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DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization
Sinan Erten, Gurkan Bebek, Rob M Ewing, Mehmet Koyutürk BioData Mining 2011, 4:19 (24 June 2011)
Abstract | Full text | PDF | PubMed
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21.
133 Accesses
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Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data
Sami K Kilpinen, Kalle A Ojala, Olli P Kallioniemi BioData Mining 2011, 4:5 (31 March 2011)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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22.
132 Accesses
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Database mining for selection of SNP markers useful in admixture mapping
Tesfaye M Baye, Hemant K Tiwari, David B Allison, Rodney C Go BioData Mining 2009, 2:1 (14 February 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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23.
132 Accesses
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3PFDB - A database of Best Representative PSSM Profiles (BRPs) of Protein Families generated using a novel data mining approach
Khader Shameer, Paramasivam Nagarajan, Kumar Gaurav, Ramanathan Sowdhamini BioData Mining 2009, 2:8 (4 December 2009)
Abstract | Full text | PDF | PubMed
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24.
131 Accesses
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Preprocessing differential methylation hybridization microarray data
Shuying Sun, Yi-Wen Huang, Pearlly S Yan, Tim HM Huang, Shili Lin BioData Mining 2011, 4:13 (16 May 2011)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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25.
119 Accesses
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Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes
Antonio Reverter, Aaron Ingham, Brian P Dalrymple BioData Mining 2008, 1:8 (19 September 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
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Editor’s summary
A new algorithm, which mines databases of tissue specificity, gene connectivity and disease association, has identified a new group of genes that interact with disease causing genes and impact on disease outcomes.
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