1. Introduction to Ensemble Based Learning
Johan Van Horebeek
CIMAT

2. A Generalized Least Squares Matrix Decomposition
Genevera I. Allen
Department of Pediatrics-Neurology, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, & Department of Statistics, Rice University, Houston, TX.

3. Dimension reduction in the context of censored survival data
Javier Rojo
Department of Statistics, Rice University, Houston, TX.

4. Learning with kernel: A review
Sergio Juarez
Department of Informatics and Statistics, University of Veracruz, Veracruz, Mexico.

5. Testing hypotheses about the tail heaviness of probability distributions
Javier Rojo
Department of Statistics, Rice University, Houston, TX.

6. Partial orders of probability distributions
Javier Rojo
Department of Statistics, Rice University, Houston, TX.

7. Randomized Controlled Trials to Reduce Obesity in the Context of Primary Care
Lisa Goldman
Stanford University

8. Length of residence in the US and body mass index across Hispanic/Latinos and Asian Americans: who are the least and most affected?
Emma Sanchez
San Francisco State University

9. Comparison of Binary Discrimination Methods for High Dimension Low Sample Size Data
Addy Bolívar-Cimé
Centro de Investigación en Matemáticas A.C.

10. Statistical Methods for Detecting and Interpreting Rare Variant Quantitative Trait Associations
Dajiang Liu
Rice University

11. Early Life Risk Factors for Childhood Obesity among Mexican-Americans
Lisa Goldman
Stanford University

12. Socioeconomic patterning in BMI across and within Hispanic/Latino groups: who should be targeted for obesity prevention?
Emma Sanchez
San Francisco State University

13. Statistical Methods for Mapping Multiple Phenotypes and Dissecting Gene Pleiotropy
Dajiang Liu
Rice University

14. Multidimensional Data and Integrative Genomics
Claudia Rangel
National Institute of Genomic Medicine, México

15. Important Aspects in Design and Statistical Analysis of Gene Expression Data
Claudia Rangel
National Institute of Genomic Medicine, México

16. Transcriptional Network Structure Assessment via the Data Processing Inequality
Enrique Hernández
National Institute of Genomic Medicine, México

17. Curso: Optimización en Clasificación y Minería de Datos
Coordinador en Costa Rica: Prof. Javier Trejos, Universidad de Costa Rica Profesores: Eduardo Piza, Alex Murillo y Mario Villalobos (U de Costa Rica); Mayra Ruano (Backpackers, Inc.)

18. Stochastic processes applied in systems biology: Models and data. 1. A primer in branching processes 2. Stochastic models of cell proliferation 3. Generating heterogeneity of proliferating cell populations
Marek Kimmel
Rice University

19. From Branching Processes to Non-Linear Partial Differential Equations
José Alfredo López-Mimbela
Centro de Investigación en Matemáticas
Guanajuato, Gto., Mexico

20. Cancer Survival Trial Design
Jianrong Wu
St. Jude Children's Research Hospital

21. Genomic Markers for Cancer: Discovery, Validation, and Incorporation into Clinical Trials
Cheng Cheng
St. Jude Children's Research Hospital

22. Stochastic processes applied in systems biology: Models and data. 1. A primer in branching processes 2. Stochastic models of cell proliferation 3. Generating heterogeneity of proliferating cell populations
Marek Kimmel
Rice University