This study aimed to identify the disease-causing mutation in the ectodysplasin A (EDA) gene in a Chinese family affected by X-linked hypohidrotic ectodermal dysplasia (XLHED). A family clinically diagnosed with XLHED was investigated. For mutation analysis, the coding region of EDA of 2 patients and 7 unaffected members of the family was sequenced. The detected mutation in EDA was investigated ...

This research compares unsupervised learning methods in topic extraction and modeling large-scale text corpora. The used are Singular Value Decomposition (SVD) Latent Dirichlet Allocation (LDA). SVD is to extract important features through term-document matrix decomposition, while LDA identifies hidden topics based on the probability distribution of words. involves data collection, exploratory ...

Composite solid propellants were prepared with and without nano-alloys (Ti-Co, Ti-Ni, Ti-Zn), where nano-alloys used as catalyst. These nano-alloys are prepared by hydrazine reduction method. Catalytic properties of these nanomaterials were measured on Ammonium perchorate/hydroxyterminatedpolybutadiene propellant by thermogravimetery analysis and differential thermal analysis. Both experimental...

Statistical exploratory data analysis (EDA) poses a difficult search problem. The EDA process lends itself however to a planning formulation. We have built a system, called AIDE, to help users explore data. Atl)F~ relies or, partial hierarchical planning, a form of planning appropriate for tasks in complex. uncertain environments. Our description of the EDA task and the AIDE system provides a c...

Extended Dependency Analysis (EDA) is a heuristic search technique for finding significant relationships between nominal variables in large datasets. The directed version of EDA searches for maximally predictive sets of independent variables with respect to a target dependent variable. The original implementation of EDA was an extension of reconstructability analysis. Our new implementation add...