DNA Microarray Image Analysis - University of Illinois at Urbana ...

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Line Score Comput<strong>at</strong>ion ∑ ∑ ∑ ∑ row j=col+kernel row+kernel j=col+kernel vertical Edge ( row, col) = I( i, j) − I( i, j) i= row− kernel j=col-kernel i= row j=col-kernel ∑ ∑ ∑ ∑ col i=row+kernel col+kernel i=row+kernel horizontal Edge ( row, col) = I( i, j) − I( i, j) j= col− kernel i=row-kernel j= col i=row-kernel Directional Edge Detection Results <strong>of</strong> Directional Edge Detection 38
Vertical and Horizontal Line Score Score( Line) = ∑ HistValue( Line, i) i > Sensitivity Score Definition Horizontal and Vertical Line Score Functions 39
Page 1 and 2: February 4, 2005 DNA Microarray Ima
Page 3 and 4: Publications • Journals: — Bajc
Page 5 and 6: Microarray Problem: Major Objective
Page 7 and 8: Input and Output of Microarray Data
Page 9 and 10: Types of Expected Microarray Data M
Page 11 and 12: 11 Microarray Data Processing Workf
Page 13 and 14: DNA Microarray Image Analysis • T
Page 15 and 16: Ideal Microarray Image? 1. Ideal cD
Page 17 and 18: Microarray Image Technologies • A
Page 19 and 20: Variations of Grid Geometry • Rot
Page 21 and 22: Variation of Spot Morphology • Sp
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: Image Down-Sampling • Design of r
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 and 74: I2K Selecting Valid Pixels - Topolo
Page 75 and 76: 75 MICROARRAY DATA QUANTIFICATION A
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

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