about
A neural network algorithm for semi-supervised node label learning from unbalanced data.GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene OntologyUNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions.Multitask Protein Function Prediction Through Task Dissimilarity.RANKS: a flexible tool for node label ranking and classification in biological networks.A mathematical model for the validation of gene selection methods.Gene2DisCo: Gene to disease using disease commonalities.A Hierarchical Ensemble Method for DAG-Structured TaxonomiesCOSNet: An R package for label prediction in unbalanced biological networksLearning node labels with multi-category Hopfield networksMulti-species protein function predictionCOSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in GraphsparSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
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P50
description
hulumtues
@sq
researcher
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հետազոտող
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name
Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
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label
Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
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Marco Frasca
@en
Marco Frasca
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Marco Frasca
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Marco Frasca
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P106
P1153
36835331200
P21
P2456
P31
P496
0000-0002-4170-0922