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BMCBI
2008
85views more  BMCBI 2008»
15 years 6 months ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...
JGS
2010
105views more  JGS 2010»
15 years 4 months ago
Testing for spatial association of qualitative data using symbolic dynamics
Qualitative spatial variables are important in many fields of research. However, unlike the decades-worth of research devoted to the spatial association of quantitative variables, ...
Manuel Ruiz, Fernando López, Antonio P&aacu...
AINA
2008
IEEE
16 years 26 days ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
ISPD
2006
ACM
158views Hardware» more  ISPD 2006»
16 years 10 days ago
Effective linear programming based placement methods
Linear programming (LP) based methods are attractive for solving the placement problem because of their ability to model Half-Perimeter Wirelength (HPWL) and timing. However, it h...
Sherief Reda, Amit Chowdhary
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...