DNA Microarray Image Analysis - University of Illinois at Urbana ...
DNA Microarray Image Analysis - University of Illinois at Urbana ... DNA Microarray Image Analysis - University of Illinois at Urbana ...
I2K Selecting Valid Pixels – Statistics Method • Method: — Estimate probability distribution function (PDF) model of spot pixels — Perform histogram of PDFs for all grid cells. — Eliminate spots that do not follow PDF of the majority of grid cells. • Statistics criterion eliminates saturated spots. Original Image Mask Image – Statistics PDF Model Screening 74
75 MICROARRAY DATA QUANTIFICATION AND NORMALIZATION
- Page 23 and 24: Examples: Spatially Varying Backgro
- Page 25 and 26: 25 Examples: Spatial Resolution, Li
- Page 27 and 28: IMAGE ANALYSIS: MICROARRAY GRID ALI
- Page 29 and 30: Grid Alignment: Application Domains
- Page 31 and 32: 31 Microarray Grid Alignment: Previ
- Page 33 and 34: Microarray Grid Alignment: Previous
- Page 35 and 36: 35 Grid Alignment Algorithm Overvie
- Page 37 and 38: Image Down-Sampling • Design of r
- Page 39 and 40: Vertical and Horizontal Line Score
- Page 41 and 42: Optional Regularity Enforcement •
- Page 43 and 44: Processing Multiple Grids Line Disc
- Page 45 and 46: Spot Size & Spot Density 45 •Radi
- Page 47 and 48: Missing Spots The fewer the spots i
- Page 49 and 50: Down-sampling •Experimental resul
- Page 51 and 52: Grid Alignment Properties Color Inv
- Page 53 and 54: Multiple Grids: Semi-Automated vs.
- Page 55 and 56: 55 MICROARRAY FOREGROUND SEPARATION
- Page 57 and 58: Foreground Separation Using Spatial
- Page 59 and 60: Foreground Separation Using Intensi
- Page 61 and 62: Foreground Separation From Multi-Ch
- Page 63 and 64: Step 1: Separating Spots from Backg
- Page 65 and 66: Goals and Objectives of Quality Ass
- Page 67 and 68: Quality Assessment: Spot Examples
- Page 69 and 70: Criteria for Assessing Morphologica
- Page 71 and 72: I2K Selecting Valid Pixels - SNR Me
- Page 73: I2K Selecting Valid Pixels - Topolo
- Page 77 and 78: Spot Descriptors • Volume of fore
- Page 79 and 80: Visualization of Spot Descriptors S
- Page 81 and 82: Normalization • Normalization usi
- Page 83 and 84: 83 MICROARRAY DATA FUSION, ANALYSIS
- Page 85 and 86: Visualization • Data: 3D cubes,di
- Page 87 and 88: Web-Based Documentation 87 http://a
I2K Selecting Valid Pixels – St<strong>at</strong>istics Method<br />
• Method:<br />
— Estim<strong>at</strong>e probability distribution function<br />
(PDF) model <strong>of</strong> spot pixels<br />
— Perform histogram <strong>of</strong> PDFs for all grid cells.<br />
— Elimin<strong>at</strong>e spots th<strong>at</strong> do not follow PDF <strong>of</strong> the<br />
majority <strong>of</strong> grid cells.<br />
• St<strong>at</strong>istics criterion elimin<strong>at</strong>es s<strong>at</strong>ur<strong>at</strong>ed spots.<br />
Original <strong>Image</strong><br />
Mask <strong>Image</strong> – St<strong>at</strong>istics PDF Model Screening<br />
74
Change language