Choosing negative examples for the prediction of protein-protein interactions (Q33244579)

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English	Choosing negative examples for the prediction of protein-protein interactions	scientific article

Statements

instance of

scholarly article

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stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

title

Choosing negative examples for the prediction of protein-protein interactions (English)

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

main subject

protein-protein interaction

1 reference

based on heuristic

inferred from title

author

Asa Ben-Hur

object named as

Asa Ben-Hur

series ordinal

1

0 references

William S. Noble

series ordinal

2

object named as

William Stafford Noble

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

publication date

20 March 2006

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

published in

BMC Bioinformatics

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

volume

7 Suppl 1

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stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

page(s)

S2

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stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

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Information assessment on predicting protein-protein interactions

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A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data

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On the number of protein-protein interactions in the yeast proteome

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Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation

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How reliable are experimental protein-protein interaction data?

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21 June 2018

Inferring domain-domain interactions from protein-protein interactions

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Protein interactions: two methods for assessment of the reliability of high throughput observations

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Comparative assessment of large-scale data sets of protein-protein interactions

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Selection bias in gene extraction on the basis of microarray gene-expression data

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DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions

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Correlated sequence-signatures as markers of protein-protein interaction

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Learning to predict protein-protein interactions from protein sequences

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In silico two-hybrid system for the selection of physically interacting protein pairs.

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The spectrum kernel: a string kernel for SVM protein classification.

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Remote homology detection: a motif based approach

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12 December 2020

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Exploiting the co-evolution of interacting proteins to discover interaction specificity

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reference URL

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retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

DOI

10.1186/1471-2105-7-S1-S2

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

DBLP publication ID

journals/bmcbi/Ben-HurN06

1 reference

stated in

DBLP Dataset 2021-01-02

retrieved

28 January 2021

Dimensions Publication ID

1038206691

0 references

PMC publication ID

1810313

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

PubMed publication ID

16723005

1 reference

stated in

Europe PubMed Central

PubMed publication ID

16723005

retrieved

24 July 2017

 

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