Negative example selection for protein function prediction: the NoGO database. - Wikidata - wikimedia - TriplyDB

Negative example selection for protein function prediction: the NoGO database.

Negative example selection for protein function prediction: the NoGO database.

http://www.wikidata.org/entity/Q35186620

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An overview of topic modeling and its current applications in bioinformatics Integrating multiple networks for protein function prediction Genome-scale identification and characterization of moonlighting proteins.Predicting protein functions using incomplete hierarchical labels.Large-scale identification of human protein function using topological features of interaction network.Evaluating Computational Gene Ontology Annotations.NegGOA: negative GO annotations selection using ontology structure.Prototyping a precision oncology 3.0 rapid learning platform

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P2860

Negative example selection for protein function prediction: the NoGO database.

http://www.wikidata.org/entity/Q35186620

description

2014 nî lūn-bûn

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2014 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Negative example selection for protein function prediction: the NoGO database.

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Negative example selection for protein function prediction: the NoGO database.

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Negative example selection for protein function prediction: the NoGO database.

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Negative example selection for protein function prediction: the NoGO database.

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Negative example selection for protein function prediction: the NoGO database.

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Negative example selection for protein function prediction: the NoGO database.

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JOURNAL.PCBI.1003644

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PLOS Computational Biology

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Negative example selection for protein function prediction: the NoGO database.

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Dennis Shasha

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Duncan Penfold-Brown

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Noah Youngs

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Richard Bonneau

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P2860

Gene ontology: tool for the unification of biology

The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts

InterProScan 5: genome-scale protein function classification

The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function

Discriminative local subspaces in gene expression data for effective gene function prediction.

Gene function prediction using labeled and unlabeled data.

Incorporating functional inter-relationships into protein function prediction algorithms

Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning technique

Accurate evaluation and analysis of functional genomics data and methods

Parametric Bayesian priors and better choice of negative examples improve protein function prediction.

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10.1371/JOURNAL.PCBI.1003644

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6

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Protein function prediction

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4055410

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