Extending genetic linkage analysis to diffusion tensor images to map single gene effects on brain fiber architecture

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 506-513

  Chiang, Ming Chang ^a   Avedissian, Christina ^a   Barysheva, Marina ^a   Toga, Arthur W ^a   McMahon, Katie L ^b   De Zubicaray, Greig I ^b   Wright, Margaret J ^c   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MODELS; CHROMOSOMES; MEDICAL COMPUTING; POLYMORPHISM; TENSORS;

3-D IMAGE; 4 TESLA; BRAIN-DERIVED NEUROTROPHIC FACTORS; DIFFUSION TENSOR IMAGES; EFFECT SIZE; FALSE DISCOVERY RATE; FIBER ARCHITECTURE; FIBER INTEGRITY; FLUID REGISTRATION; FRACTIONAL ANISOTROPY; GAUSSIAN SMOOTHING; GENE EFFECTS; GENETIC LINKAGE; GENETIC VARIANTS; HIGH-DIMENSIONAL; IMAGE FILTERING; MULTIPLE COMPARISON; SINGLE-NUCLEOTIDE POLYMORPHISMS; STRUCTURAL EQUATION MODELS; TOTAL VARIANCE; WHITE MATTER;

THREE DIMENSIONAL;

EID: 77952251096     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_62     Document Type: Conference Paper

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