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» Kernels for Semi-Structured Data
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132
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BMCBI
2006
173views more  BMCBI 2006»
15 years 3 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
161
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SIGMOD
2002
ACM
181views Database» more  SIGMOD 2002»
16 years 3 months ago
Archiving scientific data
This report is part of the seminar Digital Information Curation held by Prof. Dr. Marc H. Scholl and Dr. Andr?e Seifert during the winter term 2005/06. Its intention is to summari...
Peter Buneman, Sanjeev Khanna, Keishi Tajima, Wang...
141
Voted
EUROSYS
2008
ACM
16 years 19 days ago
Protectit: trusted distributed services operating on sensitive data
Protecting shared sensitive information is a key requirement for today’s distributed applications. Our research uses virtualization technologies to create and maintain trusted d...
Jiantao Kong, Karsten Schwan, Min Lee, Mustaque Ah...
145
Voted
CLUSTER
2009
IEEE
15 years 10 months ago
MDCSim: A multi-tier data center simulation, platform
Abstract—Performance and power issues are becoming increasingly important in the design of large cluster based multitier data centers for supporting a multitude of services. Desi...
Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyo...
149
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BMCBI
2010
243views more  BMCBI 2010»
15 years 3 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...