Wanpracha Chaovalitwongse

Full Sibling Reconstruction in Wild Populations From Microsatellite Genetic Markers (2009)

Mary V. Ashley, Isabel C. Caballero, Wanpracha Chaovalitwongse, Bhaskar Dasgupta, Saad I. Sheikh

I do not believe that the accident of birth makes people sisters and brothers. It makes them siblings. Gives them mutuality of parentage.. – Maya Angelou New technologies for collecting genotypic...

Reconstructing sibling relationships from microsatellite data (2008)

Saad Sheikh, Wanpracha Chaovalitwongse, Bhaskar Dasgupta, Mary V. Ashley

New technologies for collecting genotypic data from natural populations open the possibilities of investigating many fundamental biological phenomena, including behavior, mating systems,...

Vol. 23 ISMB/ECCB 2007, pages i49–i56 BIOINFORMATICS doi:10.1093/bioinformatics/btm219 Reconstructing sibling relationships in wild populations (2008)

Saad I. Sheikh, Bhaskar Dasgupta, Mary V. Ashley, Isabel C. Caballero, Wanpracha Chaovalitwongse, ...

Reconstruction of sibling relationships from genetic data is an important component of many biological applications. In particular, the growing application of molecular markers (microsatellites) to...

Combinatorial Reconstruction of Sibling Groups (2008)

Tanya Berger-wolf, Bhaskar Dasgupta, Wanpracha Chaovalitwongse, Mary V. Ashley

Knowledge about sibling relationships is used in genetic epidemiology, conservation biology, and animal management. For example, knowledge of the genetic relationships among individuals is critical...

On Approximating Four Covering and Packing Problems (2008)

Mary Ashley, Tanya Berger-wolf, Piotr Berman, Wanpracha Chaovalitwongse, Bhaskar Dasgupta, Ming-yang Kao

In this paper, we consider approximability issues of the following four problems: triangle packing, full sibling reconstruction, maximum profit coverage and 2-coverage. All of them are generalized or...

Error-tolerant sibship reconstruction in wild populations (2008)

Saad I. Sheikh, Mary V. Ashley, Isabel C. Caballero, Wanpracha Chaovalitwongse, Bhaskar Dasgupta

Abstract. Kinship analysis using genetic data is important for many biological applications, including many in conservation biology. Wide availability of microsatellites has boosted studies in wild...

On Approximating Four Covering and Packing Problems (2008)

Mary Ashley, Tanya Berger-wolf, Piotr Berman, Wanpracha Chaovalitwongse, Bhaskar Dasgupta, Ming-yang Kao

In this paper, we consider approximability issues of the following four problems: triangle packing, full sibling reconstruction, maximum profit coverage and 2-coverage. All of them are generalized or...

Combinatorial reconstruction of sibling relationships (2005)

Bhaskar Dasgupta, Wanpracha Chaovalitwongse, Mary V. Ashley

We present a new algorithm for reconstructing sibling relationships in a single generation of individuals without parental information, using data from codominant DNA markers such as microsatellites....

Combinatorial reconstruction of sibling relationships (2005)

Bhaskar Dasgupta, Wanpracha Chaovalitwongse, Mary V. Ashley

We present a new algorithm for reconstructing sibling relationships in a single generation of individuals without parental information, using data from codominant DNA markers such as microsatellites....

Optimization and dynamical approaches in nonlinear time series analysis with applications in bioengineering [electronic resource] / (2003)

Chaovalitwongse, Wanpracha.

ABSTRACT: Traditional linear analysis in the time series has been routinely used but did not seem to successfully give insight into the characteristic and mechanism of time series because these...

A new linearization technique for multi-quadratic 0-1 programming problems (0000)

Chaovalitwongse, Wanpracha

We consider the reduction of multi-quadratic 0–1 programming problems to linear mixed 0–1 programming problems. In this reduction, the number of additional continuous variables is O(kn) (n...

A new linearization technique for multi-quadratic 0-1 programming problems

Chaovalitwongse, Wanpracha

We consider the reduction of multi-quadratic 0–1 programming problems to linear mixed 0–1 programming problems. In this reduction, the number of additional continuous variables is O(kn) (n is...