FDA/Industry Workshop September, 19, 2003 Johnson & Johnson Pharmaceutical Research and Development L.L.C. 1 Uses and Abuses of (Adaptive) Randomization:
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Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models Minca Mramor 1, Gregor Leban 1, Janez Demšar 1.
VAAST: Deciphering Genetic Disease with Next-Generation Sequencing
Using Network Information With Gene Expression Data - Jean Yee Hwa Yang
Permutation Test, Non-parametric, and Confidence Set Approaches to Multi Group Analysis for Comparing 2 Groups Using Partial Least Square Structural Equation Modeling (Pls-Sem)
A tale of randomization Chris Brien Phenomics & Bioinformatics Research Centre, University of South Australia. The Australian Centre for Plant Functional.
Penalized Maximum Likelihood Logistic Regression Joseph Coveney Cobridge Co., Ltd.
Indian Monsoon, Indian Ocean dipoles and ENSO Pascal Terray LOCEAN/IPSL, France Fabrice Chauvin CNRM/Météo-France, France Sébastien Dominiak LOCEAN/IPSL,
Simultaneous Identification of Multiple Driver Pathways in Cancer Mark D. M. Leiserson, et.al.
Differentially expressed genes 09/19/07. Identify differentially expressed genes.
Gene Set Analysis 09/24/07. From individual gene to gene sets Finding a list of differentially expressed genes is only the starting point. Suppose we.