LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data.

G. Geeven, H.D. Macgillavry, R. Eggers, M.M. Sassen, J. Verhaagen, A.B. Smit, M.C. De Gunst, R.E. Van Kesteren

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@article{2dcbda54d030433eb7788b59198b848f,

title = "LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data.",

author = "G. Geeven and H.D. Macgillavry and R. Eggers and M.M. Sassen and J. Verhaagen and A.B. Smit and {De Gunst}, M.C. and {Van Kesteren}, R.E.",

note = "Reporting year: 2011",

year = "2011",

doi = "10.1093/nar/gkr139",

language = "English",

volume = "39",

pages = "5313--5327",

journal = "Nucleic Acids Research",

issn = "0305-1048",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data.

AU - Geeven, G.

AU - Macgillavry, H.D.

AU - Eggers, R.

AU - Sassen, M.M.

AU - Verhaagen, J.

AU - Smit, A.B.

AU - De Gunst, M.C.

AU - Van Kesteren, R.E.

N1 - Reporting year: 2011

PY - 2011

Y1 - 2011

U2 - 10.1093/nar/gkr139

DO - 10.1093/nar/gkr139

M3 - Article

SN - 0305-1048

VL - 39

SP - 5313

EP - 5327

JO - Nucleic Acids Research

JF - Nucleic Acids Research

ER -