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» Unfolding of Microarray Data
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WABI
2005
Springer
179views Bioinformatics» more  WABI 2005»
14 years 1 months ago
Spectral Clustering Gene Ontology Terms to Group Genes by Function
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
Nora Speer, Christian Spieth, Andreas Zell
ICML
2010
IEEE
13 years 9 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
BMCBI
2004
77views more  BMCBI 2004»
13 years 7 months ago
Graphical technique for identifying a monotonic variance stabilizing transformation for absolute gene intensity signals
Background: The usefulness of log2 transformation for cDNA microarray data has led to its widespread application to Affymetrix data. For Affymetrix data, where absolute intensitie...
Kellie J. Archer, Catherine I. Dumur, Viswanathan ...
BMCBI
2007
133views more  BMCBI 2007»
13 years 8 months ago
GenMAPP 2: new features and resources for pathway analysis
Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for ...
Nathan Salomonis, Kristina Hanspers, Alexander C. ...
TSMC
2010
13 years 2 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer