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 ...
Line Score Computation ∑ ∑ ∑ ∑ 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 of 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
Line Score Comput<strong>at</strong>ion<br />
∑ ∑ ∑ ∑<br />
row j=col+kernel row+kernel j=col+kernel<br />
vertical<br />
Edge ( row, col) = I( i, j) −<br />
I( i, j)<br />
i= row− kernel j=col-kernel i=<br />
row j=col-kernel<br />
∑ ∑ ∑ ∑<br />
col i=row+kernel col+kernel i=row+kernel<br />
horizontal<br />
Edge ( row, col) = I( i, j) −<br />
I( i, j)<br />
j= col− kernel i=row-kernel j=<br />
col i=row-kernel<br />
Directional Edge Detection<br />
Results <strong>of</strong><br />
Directional<br />
Edge Detection<br />
38
Change language