A Hierarchical Poisson Log-Normal Model for Network Inference from RNA Sequencing Data

PLoS ONE

Volumn 8, Issue 10, 2013, Pages

  Gallopin, Mélina ^a,b,c   Rau, Andrea ^a,b   Jaffrézic, Florence ^a,b  

^a Institut National de la Recherche Agronomique   (France)

^b AGROPARISTECH   (France)

^c Universit e Paris Sud 11   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

ARTICLE; BREAST CARCINOMA; COMPUTER GRAPHICS; CONTROLLED STUDY; DATA ANALYSIS; GENETIC DATABASE; GENETIC MODEL; HIERARCHICAL POISSON LOG NORMAL MODEL; INFORMATION RETRIEVAL; INTERMETHOD COMPARISON; KERNEL METHOD; LOGLINEAR MODEL; POISSON DISTRIBUTION; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; SIMULATION; TRANSCRIPTOMICS;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; ROC CURVE;

EID: 84885831752     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0077503     Document Type: Article

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