Lecture Slides on Microarray Data Analysis | ECS 234, Study notes of Computer Science

Material Type: Notes; Professor: Filkov; Class: Comp Functional Genomics; Subject: Engineering Computer Science; University: University of California - Davis; Term: Unknown 1989;

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ECS289A
ECS 234: Microarray Data Analysis
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ECS 234: Microarray Data Analysis

Microarray Data

Gene 6200 … … … … Gene 3 … … Gene 2 … … Gene 1 0.013 2. Plate 1 Plate 2 … Plate 10 Entries:

  • Ratio of the color intensities green/red (Cy3/Cy5) (spotted) •Single color intensity (Affy)
  • (^) Fishing Expeditions vs. Hypotheses: differentially expressed genes
  • (^) Part/Whole Genome Hypotheses: cell/tissue classification
  • (^) Gene Expression vs. Gene Function: guilt by association (co-regulation)
  • (^) Transcription Regulation
  • (^) Fingerprinting
  • (^) Genome analysis
  • (^) Gene Circuitry

What Can We Do With

Microarray Data?

  • Lochart and Winzeler

Microarray Data Analysis I

  1. Experimental Design
  2. Normalization and Transformation
  3. Identification of differentially expressed genes
  • (^) Fold test
  • (^) T-test
  • (^) Correction for multiple testing
  1. Classification
  2. Clustering
  3. Local Pattern Discovery
  4. Projection Methods
    • (^) PCA
    • (^) SVD

Microarray Data Analysis II:

Discovery

  • (^) Array Design
    • (^) Affy
    • (^) cDNA libraries and probes
  • (^) Controls
    • (^) Affy: PM-MM, and others
    • (^) Negative controls
  1. Experimental Design

(two-color DNA microarrays)

B Reference Direct (with dye swap) Loop A A R B A B A BB B AA

Lochart and Winzeler 2000

Distribution of Observed Values

Distribution of Observed Values is ~ log-normal log (Color Intensity) or log R/G is a good estimator of differential expression But one can do better by properly accounting for all systematic sources of error

  1. Data Acquisition and Visualization
  • (^) Image quantification (spot reading)
  • (^) Dynamic Range and spatial effects
  • (^) Scatterplots
  • (^) Systematic sources of error

1. Data Visualization

Image quantification (spot reading) Huber et al

Huber et al Spatial Effects

Checking the Data: Scatterplots

  • (^) Visual Aids for Data Calibration
  • (^) Plotting Red vs Green Expression Huber et al