Inference of boolean networks from gene expression data using steady state distribution analysis

Research output: Contribution to journal › Article › peer-review

Abstract

This paper examines the boolean networks from gene expression data using steady state distribution analysis.

@article{a4ab2f0ff50945af9ce0c4de1484a177,

title = "Inference of boolean networks from gene expression data using steady state distribution analysis",

abstract = "This paper examines the boolean networks from gene expression data using steady state distribution analysis.",

keywords = "boolean networks, gene expression data, steady state distribution analysis",

author = "L. Yu and S. Marshall",

year = "2008",

language = "English",

volume = "3",

pages = "113--117",

journal = "Communications of SIWN",

issn = "1757-4439",

}

TY - JOUR

T1 - Inference of boolean networks from gene expression data using steady state distribution analysis

AU - Yu, L.

AU - Marshall, S.

PY - 2008

Y1 - 2008

N2 - This paper examines the boolean networks from gene expression data using steady state distribution analysis.

AB - This paper examines the boolean networks from gene expression data using steady state distribution analysis.

KW - boolean networks

KW - gene expression data

KW - steady state distribution analysis

UR - http://siwn.org.uk/cosiwn/index.htm

M3 - Article

SN - 1757-4439

VL - 3

SP - 113

EP - 117

JO - Communications of SIWN

JF - Communications of SIWN

ER -