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Statistics / Theoretical computer science / Statistical models / Bayesian statistics / Conditional random field / Markov random field / Mutation / P53 / Gene regulatory network / Biology / Graphical models / Networks


GENERAL FRAMEWORK FOR MIXED GRAPHICAL MODELS Yulia Baker Departments of Statistics and Electrical & Computer Engineering, Rice University, Department of Pediatrics-Neurology, Baylor College of Medicine, & Jan and Dan Dun
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Document Date: 2014-07-30 17:09:37


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File Size: 1,77 MB

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Company

Neural Information Processing Systems / MIXED GRAPHICAL / Directed edge / /

Facility

Dan Duncan Neurological Research Institute / Rice University / Texas Children’s Hospital / Baylor College of Medicine / /

IndustryTerm

sites neighboring site / genetic networks / random vector inhibitory network / image processing / /

MedicalCondition

TP53 a tumor / cancer / estrogen expanding breast cancer / breast cancer / Glioblastoma / /

Organization

Texas Children’s Hospital / Neurological Research Institute / In Articial Intelligence / Rice University / Department of Pediatrics-Neurology / National Science Foundation / Baylor College of Medicine / Division of Mathematical Sciences / /

Person

Ying-Wooi Wan / Yulia Baker / /

Position

General / GENERAL FRAMEWORK / /

Product

Skullcandy G.I. Headphone/Headset / /

ProvinceOrState

Texas / /

Technology

Genomics / bioinformatics / stem cells / image processing / DNA Chip / drug development / Gene expression / /

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