Bayesian network model for identification of pathways by integrating protein interaction with genetic interaction data.

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Bayesian network model for identification of pathways by integrating protein interaction with genetic interaction data.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

@zh-hk

2017年論文

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2017年論文

@zh-tw

2017年论文

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2017年论文

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2017年论文

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Bayesian network model for ide ...... with genetic interaction data.

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Bayesian network model for ide ...... with genetic interaction data.

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Bayesian network model for ide ...... with genetic interaction data.

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P1476

Bayesian network model for ide ...... with genetic interaction data.

@en

P2093

Changhe Fu

http://www.w3.org/2001/XMLSchema#string

Guangxu Jin

http://www.w3.org/2001/XMLSchema#string

Su Deng

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Xinxin Wang

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Zu-Guo Yu

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P2860

Protein-protein interactions essentials: key concepts to building and analyzing interactome networks

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

A computational approach for ordering signal transduction pathway components from genomics and proteomics Data

Automated modelling of signal transduction networks.

Global mapping of the yeast genetic interaction network.

Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile.

Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum

The genetic landscape of a cell

Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses.

P2888

s12918-017-0454-9

P304

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P31

scholarly article

P356

10.1186/S12918-017-0454-9

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P433

Suppl 4

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-09-21T00:00:00Z

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P698

28950903

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P932

5615243

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