'Gene selection' diaporamas de présentation

Development and Validation of Predictive Classifiers using Gene Expression Profiles

Development and Validation of Predictive Classifiers using Gene Expression Profiles. Richard Simon, D.Sc. Chief, Biometric Research Branch National Cancer Institute http://brb.nci.nih.gov. BRB Website brb.nci.nih.gov. Powerpoint presentations and audio files Reprints & Technical Reports

1.49k views • 125 slides

Constantin F. Aliferis M.D., Ph.D., FACMI

Introduction to translational and clinical bioinformatics Connecting complex molecular information to clinically relevant decisions using molecular profiles. Alexander Statnikov Ph.D. Director, Computational Causal Discovery laboratory

1.24k views • 101 slides

Gene Selection For Discriminant Microarray Data Analyses

Gene Selection For Discriminant Microarray Data Analyses. Wentian Li, Ph.D Lab of Statistical Genetics Rockefeller University http://linkage.rockefeller.edu/wli/. Overview. review of microarray technology review of discriminant analysis variable selection technique

842 views • 41 slides

Concluding remarks

437 views • 30 slides

A gene expression analysis system for medical diagnosis

A gene expression analysis system for medical diagnosis. D. Maroulis, D. Iakovidis, S. Karkanis, I. Flaounas University of Athens Dept. of Informatics and Telecommuncations. Objectives. A system to support medical diagnosis using molecular level information

395 views • 28 slides

Microarray statistical validation and functional annotation

Microarray statistical validation and functional annotation. Microarrays. DNA microarray technology is an high throughput method for gaining information on gene function.

477 views • 25 slides

FEATURE SELECTION = GENE SELECTION

FEATURE SELECTION = GENE SELECTION. Feature selection techniques have become an apparent need in many bioinformatics applications.

426 views • 18 slides

Data Analysis: General Workflow & Analysis Options

Data Analysis: General Workflow & Analysis Options. Duke Microarray Core Facility Zhengzheng Wei July. 2011. Overall Workflow. Normalization (RMA, MAS5) Outlier Sample Removal ( Affymetrix QC matrics , PCA , intensity histogram )

310 views • 16 slides

Transcriptional Diagnosis by Bayesian Network

249 views • 16 slides

Data Mining and Machine Learning (DMML)

Data Mining and Machine Learning (DMML). Group Members (Right to Left):

224 views • 6 slides

Selection of genes: Choose threshold on fit score to include known EWS/FLI1-induced genes.

Model-based approach for analysis of transcriptome perturbation reveals Ewing oncogene interaction Network. G. Stoll 1 , A. Zinovyev 1 , F. Tirode 2 , K. Laud-Duval 2 , O. Delattre 2 , E. Barillot 1 Service Bioinformatique, Institut Curie, Paris, France

117 views • 1 slides