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BMCBI
2004
162views more  BMCBI 2004»
13 years 5 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
ICPR
2004
IEEE
14 years 6 months ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
SIGSOFT
2008
ACM
14 years 6 months ago
Experience in using a process language to define scientific workflow and generate dataset provenance
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
ISMB
1997
13 years 6 months ago
Prediction of Enzyme Classification from Protein Sequence without the Use of Sequence Similarity
1 W’edescribe a novel approach for predicting the function of a protein from its amino-acid sequence. Given features that can be computedfrom the amino-acid sequence in a straigh...
Marie desJardins, Peter D. Karp, Markus Krummenack...
BMCBI
2007
135views more  BMCBI 2007»
13 years 5 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...