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IJDMB
2008
132views more  IJDMB 2008»
13 years 7 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-b...
Robert C. McLeay, Timothy L. Bailey
VLDB
2003
ACM
156views Database» more  VLDB 2003»
14 years 7 months ago
Watermarking relational data: framework, algorithms and analysis
We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and de...
Rakesh Agrawal, Peter J. Haas, Jerry Kiernan
ICCV
2007
IEEE
14 years 9 months ago
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
ICMS
2010
13 years 6 months ago
TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
Jan Reininghaus, David Günther, Ingrid Hotz, ...