'Gene expression microarray data' diaporamas de présentation

Gene expression microarray data - PowerPoint PPT Presentation

From colored speckles to expression values

From colored speckles to expression values

From colored speckles to expression values. o quality control / optimization o calibration and error modeling o data transformations o software Wolfgang Huber Dep. of Molecular Genome Analysis DKFZ Heidelberg. samples: mRNA from tissue biopsies, cell lines. probes:

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554 views • 41 slides
:: Microarray analysis ::

:: Microarray analysis ::

:: Microarray analysis ::. Data pre-processing Normalization Molecular diagnosis Statistical classification. Florian Markowetz florian@genomics.princeton.edu. From experiment to data. Raw data are not mRNA concentrations. tissue contamination RNA degradation amplification efficiency

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736 views • 34 slides
Integration of Clinical, SNP, and Microarray Gene Expression Measurements in Prediction of CFS

Integration of Clinical, SNP, and Microarray Gene Expression Measurements in Prediction of CFS

Integration of Clinical, SNP, and Microarray Gene Expression Measurements in Prediction of CFS. Sooyeol Lim 1 , Wen Le 1,2 , Pingzhao Hu 1 , Baifang Xing 1 , Celia M.T. Greenwood 1,2 , Joseph Beyene 1,2 The Hospital for Sick Children Research Institute 1 ,

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327 views • 32 slides
Microarray Experimental Design and Analysis

Microarray Experimental Design and Analysis

Microarray Experimental Design and Analysis. Sandrine Dudoit jointly with Yee Hwa Yang Division of Biostatistics, UC Berkeley www.stat.berkeley.edu/~sandrine CBMB and QB3 Short Course: Analysis of Gene Expression Microarray Data Genentech Hall Auditorium, Mission Bay, UCSF

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397 views • 24 slides
Fundamentals of experimental design for cDNA microarrays

Fundamentals of experimental design for cDNA microarrays

Fundamentals of experimental design for cDNA microarrays. Gary A. Churchill http:// www.jax.org/research/churchill. 2004. 3. 20 ???. SUBJECT. Fundamental issues of how to design an experiment to ensure that the resulting data are amenable to statistical analysis. mRNA. cDNA.

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464 views • 21 slides

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