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 ...
Foreground Separation The goal of foreground separation is to identify pixels that belong to foreground (signal) of expected spot shape and to background. Foreground separation methods using: • spatial templates • intensity based clustering • intensity based segmentation • spatial and intensity information. 56
Foreground Separation Using Spatial Templates • Separation using spatial co-centric circular templates 57
- 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 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: 55 MICROARRAY FOREGROUND SEPARATION
- 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
Foreground Separ<strong>at</strong>ion Using Sp<strong>at</strong>ial Templ<strong>at</strong>es<br />
• Separ<strong>at</strong>ion using sp<strong>at</strong>ial co-centric circular templ<strong>at</strong>es<br />
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