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Monther Alhamdoosh
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2010 – 2019
- 2017
- [j4]Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie:
Combining multiple tools outperforms individual methods in gene set enrichment analyses. Bioinform. 33(3): 414-424 (2017) - [i1]Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutiérrez, Neil P. Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla J. García, Josep Lluis Gelpí, Simon L. Gladman, Carole A. Goble, Montserrat González Ferreiro, Alejandra N. González-Beltrán, Philippa C. Griffin, Björn A. Grüning, Jonas Hagberg, Petr Holub, Rob W. W. Hooft, Jon C. Ison, Daniel S. Katz, Brane Leskosek, Federico López-Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola J. Mulder, Yasset Pérez-Riverol, Robert Pergl, Horst Pichler, Bernard J. Pope, Ferran Sanz, Maria Victoria Schneider, Victoria Stodden, Radoslaw Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian T. Todorov, Andrew E. Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Steve Crouch:
Four simple recommendations to encourage best practices in research software. F1000Research 6: 876- (2017) - 2014
- [j3]Monther Alhamdoosh, Dianhui Wang:
Fast decorrelated neural network ensembles with random weights. Inf. Sci. 264: 104-117 (2014) - 2013
- [j2]Dianhui Wang, Monther Alhamdoosh:
Evolutionary extreme learning machine ensembles with size control. Neurocomputing 102: 98-110 (2013) - 2011
- [j1]Castrense Savojardo, Piero Fariselli, Monther Alhamdoosh, Pier Luigi Martelli, Andrea Pierleoni, Rita Casadio:
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization. Bioinform. 27(16): 2224-2230 (2011) - [c1]Monther Alhamdoosh, Castrense Savojardo, Piero Fariselli, Rita Casadio:
Disulfide Connectivity Prediction with Extreme Learning Machines. BIOINFORMATICS 2011: 5-14
Coauthor Index
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