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» A statistical approach for array CGH data analysis
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72
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NIPS
2001
15 years 1 months ago
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Roman Genov, Gert Cauwenberghs
BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
BMCBI
2004
113views more  BMCBI 2004»
14 years 11 months ago
Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
Leah Barrera, Chris Benner, Yong-Chuan Tao, Elizab...
IPMI
2005
Springer
16 years 15 days ago
Unified Statistical Approach to Cortical Thickness Analysis
This paper presents a unified image processing and analysis framework for cortical thickness in characterizing a clinical population. The emphasis is placed on the development of d...
Moo K. Chung, Steve Robbins, Alan C. Evans
93
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DFT
2007
IEEE
142views VLSI» more  DFT 2007»
15 years 6 months ago
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
Growth of pixel density and sensor array size increases the likelihood of developing in-field pixel defects. An ongoing study on defect development in imagers has now provided us ...
Jenny Leung, Jozsef Dudas, Glenn H. Chapman, Israe...