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IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 10, 2015
YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features
Dimitrios Kleftogiannis, Konstantinos Theofilatos, Spiros Likothanassis, et al.
Artificial Intelligence in Medicine
|
August 11, 2016
Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods
Christos Dimitrakopoulos, Konstantinos Theofilatos, Andreas Pegkas, et al.
Journal of Biomedical Informatics
|
March 19, 2013
Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role
Dimitrios Kleftogiannis, Aigli Korfiati, Konstantinos Theofilatos, et al.
Artificial Intelligence in Medicine
|
March 14, 2015
Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering
Konstantinos Theofilatos, Niki Pavlopoulou, Christoforos Papasavvas, et al.
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of 1
Search research articles
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Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 10, 2015
YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features
Dimitrios Kleftogiannis, Konstantinos Theofilatos, Spiros Likothanassis, et al.
Artificial Intelligence in Medicine
|
August 11, 2016
Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods
Christos Dimitrakopoulos, Konstantinos Theofilatos, Andreas Pegkas, et al.
Journal of Biomedical Informatics
|
March 19, 2013
Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role
Dimitrios Kleftogiannis, Aigli Korfiati, Konstantinos Theofilatos, et al.
Artificial Intelligence in Medicine
|
March 14, 2015
Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering
Konstantinos Theofilatos, Niki Pavlopoulou, Christoforos Papasavvas, et al.
Page
of 1