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» Identifying Projected Clusters from Gene Expression Profiles
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RECOMB
2002
Springer
14 years 10 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
IMSCCS
2007
IEEE
14 years 4 months ago
Multi-dimensional Cluster Misclassification Test for Pathway Differential Analysis of Diabetes
Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual genes that pl...
Lily R. Liang, Vinay Mandal, Yi Lu, Deepak Kumar
BMCBI
2006
183views more  BMCBI 2006»
13 years 10 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
BMCBI
2008
101views more  BMCBI 2008»
13 years 10 months ago
Term-tissue specific models for prediction of gene ontology biological processes using transcriptional profiles of aging in dros
Background: Predictive classification on the base of gene expression profiles appeared recently as an attractive strategy for identifying the biological functions of genes. Gene O...
Wensheng Zhang, Sige Zou, Jiuzhou Song
BMCBI
2005
104views more  BMCBI 2005»
13 years 9 months ago
An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer i
Background: Neoplastic transformation is a multistep process in which distinct gene products of specific cell regulatory pathways are involved at each stage. Identification of ove...
Federica Cavallo, Annalisa Astolfi, Manuela Iezzi,...