Uncover disease genes by maximizing information flow in the phenome-interactome network (Q35051828)

6 August 2017

title

Uncover disease genes by maximizing information flow in the phenome-interactome network (English)

1 reference

6 August 2017

Yong Chen

1

1 reference

6 August 2017

Tao Jiang

series ordinal

2

1 reference

6 August 2017

Rui Jiang

series ordinal

3

1 reference

6 August 2017

language of work or name

English

0 references

publication date

1 July 2011

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6 August 2017

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6 August 2017

volume

27

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6 August 2017

issue

13

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6 August 2017

page(s)

i167-76

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Creative Commons Attribution-NonCommercial 2.5 Generic

6 August 2017

copyright license

start time

2 October 2016

1 reference

April 2023 Public Data File from Crossref

copyright status

copyrighted

0 references

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8 July 2018

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8 July 2018

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8 July 2018

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8 July 2018

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8 July 2018

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Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network.

21 January 2018

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Align human interactome with phenome to identify causative genes and networks underlying disease families.

21 January 2018

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Rab7 and Rab27a control two motor protein activities involved in melanosomal transport

21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/21685067

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

The ups and downs of transcription factors in melanoma

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21685067

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

A text-mining analysis of the human phenome

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21685067

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1093/BIOINFORMATICS/BTR213

1 reference

journals/bioinformatics/ChenJJ11

6 August 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

6 August 2017

1 reference