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Chang-Xing Ma
Researcher at University at Buffalo
Publications - 114
Citations - 4977
Chang-Xing Ma is an academic researcher from University at Buffalo. The author has contributed to research in topics: Quantitative trait locus & Family-based QTL mapping. The author has an hindex of 37, co-authored 105 publications receiving 4547 citations. Previous affiliations of Chang-Xing Ma include Roswell Park Cancer Institute & University of Florida.
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Fluctuation AnaLysis CalculatOR
TL;DR: The FALCOR rate calculator is a web tool designed for use with Luria-Delbrück fluctuation analysis to calculate the frequency and rate from various mutation assays in bacteria and yeast.
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Beyond Food Deserts Measuring and Mapping Racial Disparities in Neighborhood Food Environments
TL;DR: In this paper, the authors investigate racial disparities in neighborhood food environments and find that people belonging to different racial groups have access to different neighborhood food destinations, and they show that contrary to studies elsewhere in the country there are no food deserts in Erie County.
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Functional mapping of quantitative trait loci underlying the character process: a theoretical framework.
TL;DR: A new statistical infrastructure for mapping quantitative trait loci (QTL) underlying the character process, and a maximum-likelihood approach based on a logistic-mixture model, implemented with the EM algorithm, is developed to provide the estimates of QTL positions, QTL effects, and other model parameters responsible for growth trajectories.
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Risk Factors for Infant Maltreatment: A Population-Based Study.
Samuel S. Wu,Chang-Xing Ma,Randy L. Carter,Mario Ariet,Edward A. Feaver,Michael B. Resnick,Jeffrey Roth +6 more
TL;DR: Data on nearly all risk factors found to be significantly associated with infant maltreatment are available on the birth certificate and can be incorporated into a population-based risk-assessment tool that could identify subpopulations at highest risk for infant malt treatment.
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Centered L 2 -discrepancy of random sampling and Latin hypercube design, and construction of uniform designs
TL;DR: In this paper properties and construction of designs under a centered version of the L2-discrepancy are analyzed and optimization is performed using the threshold accepting heuristic which produces low discrepancy designs compared to theoretic expectation and variance.