Dynamic linear model for the identification of miRNAs in next-generation sequencing data

Biometrics

Volumn 67, Issue 4, 2011, Pages 1206-1214

  Evan Johnson, W ^a   Welker, Noah C ^b   Bass, Brenda L ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b UNIVERSITY OF UTAH   (United States)

Author keywords

Bayesian methods; Dynamic linear model; Markov chain Monte Carlo; MiRNA prediction; Smith Waterman algorithm; Solexa Illumina sequencing

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; MONTE CARLO METHODS; RNA;

BAYESIAN METHODS; BIOMEDICAL RESEARCH; DYNAMIC LINEAR MODEL; ILLUMINA; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MIRNA PREDICTION; NEXT-GENERATION SEQUENCING; SMITH-WATERMAN ALGORITHMS; SOLEXUM/ILLUMEN SEQUENCING;

GENES;

ACCURACY ASSESSMENT; ALGORITHM; BAYESIAN ANALYSIS; CELL ORGANELLE; COMPUTER SIMULATION; DATA SET; FUNCTIONAL MORPHOLOGY; GENE EXPRESSION; GENETIC ANALYSIS; IDENTIFICATION METHOD; LINEARITY; MARKOV CHAIN; MOLECULAR ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; RESEARCH WORK; RESOLUTION; RNA; SENSITIVITY ANALYSIS;

EID: 83655211701     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01570.x     Document Type: Article

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