Biological network inference using low order partial correlation

Methods

Volumn 69, Issue 3, 2014, Pages 266-273

  Zuo, Yiming ^a,b   Yu, Guoqiang ^b   Tadesse, Mahlet G ^c   Ressom, Habtom W ^a  

^a GEORGETOWN UNIVERSITY   (United States)

^b State University   (United States)

^c GEORGETOWN UNIVERSITY   (United States)

Author keywords

Biomarker discovery; Correlation; Gaussian graphical models; Low order partial correlation; Systems biology; Undirected network inference

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; BIOLOGICAL NETWORK INFERENCE; CONTROLLED STUDY; CORRELATION COEFFICIENT; COVARIANCE; GAUSSIAN GRAPHICAL MODEL; HUMAN; LIQUID CHROMATOGRAPHY; LIVER CELL CARCINOMA; LIVER CIRRHOSIS; LOW ORDER PARTIAL CORRELATION; MAJOR CLINICAL STUDY; MASS SPECTROMETRY; METABOLOMICS; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SAMPLE SIZE; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; SYSTEMS BIOLOGY; BIOLOGY; GENE EXPRESSION PROFILING; PROCEDURES; THEORETICAL MODEL;

ALGORITHMS; BIOLOGICAL MARKERS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; HUMANS; MODELS, THEORETICAL; NORMAL DISTRIBUTION; SYSTEMS BIOLOGY;

EID: 84927127092     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.06.010     Document Type: Article

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