PPT-Genomic meta-analysis in combining expression profiles

Outline Introduction Two review papers Quality control MetaQC Metaanalysis for detecting differentially expressed genes MetaDE Metaanalysis for detecting pathways MetaPath 1 Introduction. obesity-associated . intergenic long noncoding . RNAs. Project for “Solving Biological Problems that require Math”. Jennifer Tan. Intergenic. long noncoding RNAs. Pervasive transcription of eukaryotic genomes (not just in protein-coding regions). EPI 811 Individual Presentation. Chapter 10 of . Szklo. and Nieto’s . Epidemiology: Beyond the Basics. Anton Frattaroli. Sensitivity Analysis. Generally, an assessment of how systematic or random errors affect an effect estimates’ representativeness of the actual effect (the validity of the effect estimate).. Title: . Talking Walls: Art for the People. Author: . Katacha. Diaz. Genre: . Photo Essay. Small Group. . Timer. Spelling Words. . question. creature. furniture. division. collision. action. PSY505. Spring term, 2012. February . 22, . 2012. Today’s Class. Meta-Analysis. Meta-Analysis. What is it?. Meta-Analysis. What is it usually used for?. Meta-Analysis. What are the key challenges?. Jaswin Sawhney. Maine Medical Center. Portland, Maine. Introduction to Meta-Analysis. What is a systematic review? . A systematic review is a research methodology that tries to identify, select, appraise, and synthesize all research evidence relevant to a specific research question . subtype of. . pediatric. acute lymphoblastic . leukemia. Ingegerd Ivanov Öfverholm. , . MD, PhD. Dept of Molecular Medicine and Surgery. Clinical Genetics unit. Karolinska. . Institutet. Acute lymphoblastic leukemia (ALL) - most common form of pediatric cancer. Introduction to Meta-Analysis. Dr. Chris L. S. . Coryn. Kristin A. Hobson. Fall 2013. Agenda. Course overview. An overview of and brief introduction to meta-analysis. Selection of working groups. In-class activity. Objective. Understand the philosophy of meta-analysis and its contribution to epidemiology and science.. Understand the limitations of meta-analysis. Introduction. Systematic quantitative integration of results . Ron Shamir. School of Computer Science. Tel Aviv University. April 2013. 1. Sources: . Igor Ulitsky and Ron Shamir. Identification of Functional Modules using Network Topology and High-Throughput Data. BMC Systems Biology 1:8 (2007). . 1 - analysis Tony Hak, Henk van Rhee , & Robert Suurmond Version 1.0, March 2016 Version 1.3, Updated June 2018 Version 1 .4, Updated July 2018 Meta - analysis is a systematic method for synthesizing Sebanti Sengupta. 11/15/2017. Background. Meta-analysis an important strategy for genetic association studies. Increases sample size and power. Can lead to discovery of novel loci. Can use previously published study results. Inês Barroso. Joint Head of Human Genetics. Metabolic Disease Group Leader. Wellcome. Trust Sanger Institute. 1. Objectives. Why perform meta-analysis?. How? . What are the issues to consider?. What can you gain?. Presented by Christine R. Wells, Ph.D.. Statistical Methods and Data Analytics. UCLA Office of Advanced Research Computing. What to expect from this workshop. Definition of systematic review and meta-analysis. intergenic long noncoding . RNAs. Project for “Solving Biological Problems that require Math”. Jennifer Tan. Intergenic. long noncoding RNAs. Pervasive transcription of eukaryotic genomes (not just in protein-coding regions).