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» Analysis of variance components in gene expression data
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ICML
2008
IEEE
16 years 17 days ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
BMVC
2010
14 years 9 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 6 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
92
Voted
BMCBI
2008
118views more  BMCBI 2008»
14 years 12 months ago
Kismeth: Analyzer of plant methylation states through bisulfite sequencing
Background: There is great interest in probing the temporal and spatial patterns of cytosine methylation states in genomes of a variety of organisms. It is hoped that this will sh...
Eyal Gruntman, Yijun Qi, R. Keith Slotkin, Ted Roe...
93
Voted
BMCBI
2008
128views more  BMCBI 2008»
14 years 12 months ago
Efficient computation of absent words in genomic sequences
Background: Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon us...
Julia Herold, Stefan Kurtz, Robert Giegerich