Efficient Two-Stage Model for Predicting Protein-Protein Interactions

Name: Efficient Two-Stage Model for Predicting Protein-Protein Interactions
Brand: VDM Verlag Dr. Müller
SKU: 9783639118582
Price: 205.45 PLN
Availability: InStock

Machine Learning

Autor: Jingkai Yu

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Müller

Dostępność: Na zamówienie

Wysyłamy za 17-27 dni

205.45 zł

Genome sequencing have identified many predicted§proteins with §unknown biological functions. Protei...

Informacje o książce

Autor

Jingkai Yu

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2009

strony

116

EAN

9783639118582

Enbook ID

06820689

Wydawca

VDM Verlag Dr. Müller

Waga

189

Wymiary

150 x 220 x 7

Pełny opis

Genome sequencing have identified many predicted§proteins with §unknown biological functions. Protein interaction§networks link §proteins/genes together, provide a global context for§interacting §proteins, and enable studies at the systems level.§High throughput §methods were developed to detect protein-protein§interactions. §However, current techniques show high levels of false§positives and §false negatives. They are also labor intensive and§expensive to §perform. Computational methods are needed to reduce§testing §space and enhance testing efficiency. In this work, a§two-stage §statistical scoring model was built to assign§confidence scores to §fruit fly yeast two-hybrid interactions. High§confidence predictions §are significantly enriched with biologically§meaningful interactions. §Cross-validation showed good prediction performance,§which were §also validated by independent data sources. We§obtained 24798 new §interactions involving 4702 proteins. The work should§be especially §interesting to researchers in interactome or systems§biology fields. §It also appeals to professionals practicing machine§learning or data §mining in computational biology and bioinformatics.

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Efficient Two-Stage Model for Predicting Protein-Protein Interactions

Machine Learning

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