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Conventional linear subspace learning methods like principal component analysis (PCA), linear discriminant analysis (LDA) derive subspaces from the whole data set. These approaches have limitations in the sense that they are linear while the data distribut ...
Institute of Electrical and Electronics Engineers2011
The experimental determination of transcriptional regulatory networks in the laboratory remains difficult and time-consuming, while computational methods to infer these networks provide only modest accuracy. The latter can be attributed in part to the limi ...
Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this problem; the currently available methods, however, are hard to deploy for large-scale inter ...
Human diseases are often accompanied by histological changes that confound interpretation of molecular analyses and identification of disease-related effects. We developed population-specific expression analysis (PSEA), a computational method of analyzing ...
Due to the unfavorable scaling of tensor-network methods with the refinement parameter M, new approaches are necessary to improve the efficiency of numerical simulations based on such states, in particular for gapless, strongly entangled systems. In one-di ...
The process of protein aggregation, due to an incorrect protein folding, has very important implications in medicine. An increasing number of pathologies, including Alzheimer's and Parkinson's diseases, are associated unambiguously with the formation of la ...
Chromatin immunoprecipitation experiments followed by ultra-high-throughput sequencing (ChIP-seq) is becoming the method of choice to identify transcription factor binding sites in prokaryotes and eukaryotes in vivo. Here, we review the computational steps ...
Refined analysis, based on use of the Monte Carlo code MCNPX-2.4.0, is presented for the "H.B. Robinson-2 pressure vessel dosimetry benchmark", which is a part of the Radiation Shielding and Dosimetry Experiments Database (SINBAD). First, the performance o ...
GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the challenge is to measure varying image distortions in the presence of a varia ...
It is well known that spatial averaging can be realized (in space or frequency domain) using algorithms whose complexity does not scale with the size or shape of the filter. These fast algorithms are generally referred to as constant-time or O(1) algorithm ...