'False discovery rate' diaporamas de présentation

CBIO243: Principles of Cancer Systems Biology

CBIO243: Principles of Cancer Systems Biology. Sylvia Plevritis, PhD Course Director Melissa Ko Teaching Assistant Fuad Nijim CCSB Program Manager March 31, 2014. Goals of CBIO243. Introduce major principles of cancer systems biology that integrate experimental and computational biology.

1.1k views • 71 slides

ANOVA and Regression

ANOVA and Regression. Brian Healy, PhD. Objectives. ANOVA Multiple comparisons Introduction to regression Relationship to correlation/t-test. Comments from reviews. Please fill them out because I read them More examples and not just MS

843 views • 66 slides

cDNA Microarrays and some of their applications to Clinical Medicine

cDNA Microarrays and some of their applications to Clinical Medicine. Pascale F. Macgregor, Ph. D. LMP 1019S April 12, 2002. Outline of the lecture. What are microarrays? **Manufacturing **Different types of microarrays **Possible applications **Data analysis

845 views • 57 slides

Some Statistical Aspects of Predictive Medicine

Some Statistical Aspects of Predictive Medicine. Richard Simon, D.Sc. Chief, Biometric Research Branch National Cancer Institute http://brb.nci.nih.gov. Biometric Research Branch Website http://brb.nci.nih.gov. Powerpoint presentations Reprints BRB-ArrayTools software

902 views • 52 slides

Modeling Neural Network Connectivity at Rest and During Tasks with fMRI and ERP data: An Overview

Modeling Neural Network Connectivity at Rest and During Tasks with fMRI and ERP data: An Overview. Donald A. Robin, PhD Rachel Hutson , BA Chief, Human performance Division Research Imaging Institute Professor Neurology, Radiology, Biomedical Engineering

569 views • 48 slides

Intelligent data analysis B iomarker discovery II.

Intelligent data analysis B iomarker discovery II. Peter Antal antal@mit.bme.hu. Overview. Biomarkers The Bayesian statistical approach Partial multivariate analysis Marginalization, sub-, sup-relevance Frontlines Causal , confounded extension Multitarget (multidimensional)extension

574 views • 44 slides

Repeated Measures Design

Repeated Measures Design. Repeated Measures ANOVA. Instead of having one score per subject, experiments are frequently conducted in which multiple scores are gathered for each case Repeated Measures or Within-subjects design. Advantages.

866 views • 41 slides

Multiple testing correction

Multiple testing correction. Prof. William Stafford Noble Department of Genome Sciences Department of Computer Science and Engineering University of Washington thabangh@gmail.com. Outline. One-minute response Revision Multiple testing correction Motivation

718 views • 36 slides

Modern Approaches

593 views • 30 slides

An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus

An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus. Chirag J. Patel et al., PLoS One, May 2010. First, some context. Hypothesis-driven vs. data-driven research Tension between these two forms of research crosses all scientific disciplines

445 views • 28 slides

Applying False Discovery Rate (FDR) Control in Detecting Future Climate Changes

383 views • 26 slides

Statistical Analysis of Microarray Data

435 views • 26 slides

From the homework: Distribution of DNA fragments generated by Micrococcal nuclease digestion

262 views • 15 slides

Comparing Gene Expression Between Affymetrix Arrays

290 views • 13 slides

Spatial Smoothing & Multiple Comparisons Correction (for Dummies)

Spatial Smoothing & Multiple Comparisons Correction (for Dummies). Ac knowledgements: Jon Simons, Alexa Morcom, Matthew Brett. Overview. Spatial Smoothing What does it do? Why do you want to do it? How is it done? Correction for Multiple Comparisons Bonferroni correction

637 views • 13 slides

Significance analysis of microarrays (SAM)

Significance analysis of microarrays (SAM). SAM can be used to pick out significant genes based on differential expression between sets of samples. Currently implemented for the following designs: - two-class unpaired two-class paired multi-class censored survival one-class. SAM.

333 views • 9 slides

Significance analysis of microarrays applied to the ionizing radiation response

Significance analysis of microarrays applied to the ionizing radiation response . Virginia Goss Tusher, Robert Tibshirani, and Gilbert Chu Proceedings of the National Academy of Sciences, U.S.A. 98:5116-5121. . Irradiated vs Unirradiated. Lymphoblastoid Cells

253 views • 9 slides

GSE9006 (n=24)

Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks Adam Stevens, Daniel Hanson, Andrew Whatmore , Benoit Destenaves , Pierre Chatelain , Peter Clayton Supplementary Information: Introduction

200 views • 7 slides

115 views • 5 slides

Multi-class Microarray Experiments

Declare Negative. Declare Positive. Total. True Negative. U. V. N 0. True Positive. N-N 0. T. S. Total. N-R. R. N. Apoptosis FDR:70%. Cycle regulation FDR:26%. Cytoskeleton FDR:66%.

77 views • 1 slides