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BMCBI
2006
154views more  BMCBI 2006»
15 years 6 months ago
Analysis with respect to instrumental variables for the exploration of microarray data structures
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Florent Baty, Michaël Facompré, Jan Wi...
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
15 years 8 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 7 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
222
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CIDR
2009
139views Algorithms» more  CIDR 2009»
15 years 7 months ago
Inter-Operator Feedback in Data Stream Management Systems via Punctuation
High-volume, high-speed data streams may overwhelm the capabilities of stream processing systems; techniques such as data prioritization, avoidance of unnecessary processing and o...
Rafael Fernández-Moctezuma, Kristin Tufte, ...
BMCBI
2007
99views more  BMCBI 2007»
15 years 6 months ago
Orthogonal projections to latent structures as a strategy for microarray data normalization
Background: During generation of microarray data, various forms of systematic biases are frequently introduced which limits accuracy and precision of the results. In order to prop...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...