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» Detecting microRNA activity from gene expression data
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131
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BMCBI
2011
14 years 7 months ago
Tiling array data analysis: a multiscale approach using wavelets
Background: Tiling array data is hard to interpret due to noise. The wavelet transformation is a widely used technique in signal processing for elucidating the true signal from no...
Alexander Karpikov, Joel S. Rozowsky, Mark Gerstei...
87
Voted
BMCBI
2007
116views more  BMCBI 2007»
15 years 16 days ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
BMCBI
2010
171views more  BMCBI 2010»
15 years 16 days ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
114
Voted
SAFECOMP
1998
Springer
15 years 4 months ago
An Agenda for Specifying Software Components with Complex Data Models
Abstract. We present a method to specify software for a special kind of safetycritical embedded systems, where sensors deliver low-level values that must be abstracted and pre-proc...
Kirsten Winter, Thomas Santen, Maritta Heisel
BMCBI
2010
113views more  BMCBI 2010»
15 years 16 days ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...