BMCBI
2010
13 years 5 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
BIODATAMINING
2008
13 years 5 months ago
2008
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
BIODATAMINING
2008
13 years 5 months ago
2008
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
BIBM
2008
IEEE
13 years 5 months ago
2008
IEEE
This paper addresses the protein classification problem, and explores how its accuracy can be improved by using information from time-course gene expression data. The methods are ...
BMEI
2009
IEEE
13 years 6 months ago
2009
IEEE
Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
BIOCOMP
2009
13 years 6 months ago
2009
- With the lowering cost and the increasing discoveries, genomics research filed has materialized personal genome era. Especially, microarray gene expression platform has already m...
ISMB
2000
13 years 6 months ago
2000
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
PSB
2004
13 years 7 months ago
2004
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
ISMB
2001
13 years 7 months ago
2001
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
KDID
2004
13 years 7 months ago
2004
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...