'Diagnostic plots' diaporamas de présentation

GeneExpression II: 1. Transcription Factor Binding Sites 2. Microarrays 26 th May, 2010

GeneExpression II: 1. Transcription Factor Binding Sites 2. Microarrays 26 th May, 2010 Karsten Hokamp Genetics Department. TFBS prediction - Overview. Introduction Methods Implementations Analyse 2kb upstream of eve. TFBS prediction - Introduction. TFBS = DNA motifs

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Understanding and Using Feedback from the Primary Information Systems

Understanding and Using Feedback from the Primary Information Systems. Dr Chris Jellis chris.jellis@cem.dur.ac.uk. PIPS and InCAS have Different Feedback. PIPS feedback uses Standardised Scores Good for comparing yeargroups and cohorts Good for assigning pupils to ability groups

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Analysis of sapflow measurements of Larch trees within the inner alpine dry Inn-valley

Analysis of sapflow measurements of Larch trees within the inner alpine dry Inn-valley. PhD student: Marco Leo. Advanced Statistics WS 2010/11. Overview. Background Principle of sapflow measurements Collection of environmental data Statistical analysis of time series data

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Seasonal ARMA forecasting and Fitting the bivariate data to GARCH

Seasonal ARMA forecasting and Fitting the bivariate data to GARCH. John DOE. Outline. Part I : Data description for the project Part II : Fitting the data to Seasonal ARIMA model and Forecasting Part III: Fitting the bivariate data to GARCH model. 1. Data description.

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Microarray Data Analysis

Microarray Data Analysis. Data quality assessment and normalization for affymetrix chips. Outline. Visualization and diagnostic plots Normalization. Microarray studies life cycle. Here we are. Looking at microarray data Diagnostic Plots. Was the experiment a success?.

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Status report on EMC simulation ... Part 3

Status report on EMC simulation ... Part 3. The plan is to: SURVEY the existing situation over the 2001 2002 runs - Validation of plots using ????? and ee ?ee? samples STATUS: advanced with ????? More mature test on energy response and efficiency done with

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The Microdata Analysis System (MAS): A Tool for Data Dissemination

The Microdata Analysis System (MAS): A Tool for Data Dissemination. presented by Michael Freiman Center for Disclosure Avoidance Research U.S. Census Bureau. Disclaimer: The views expressed are those of the authors and not necessarily those of the U.S. Census Bureau.

248 views • 12 slides