High‐content screening is important in drug discovery. The use of images of living cells as the basic unit for molecule discovery can aid the identification of small compounds altering cellular phenotypes. As such, e...
High‐content screening is important in drug discovery. The use of images of living cells as the basic unit for molecule discovery can aid the identification of small compounds altering cellular phenotypes. As such, efficient computational methods are required for the rate limiting task of cellular phenotype identification. In this paper we first investigate the effectiveness of a feature description approach by combining Haralick texture analysis with Curvelet transform and then propose a new ensemble approach for classification. The ensemble contains a set of base classifiers which are trained using random projection (RP) of original features onto higher‐dimensional spaces. With Classification and Regression Tree (CART) as the base classifier, it has been empirically demonstrated that the proposed Random Projection Forest ensemble gives better classification results than those achieved by the Boosting, Bagging and Rotation Forest algorithms, offering a classification rate ∼88% with smallest standard deviation, which compares sharply with the published result of 82%.
Advancements in single-cell multi-omics sequencing technologies have dramatically transformed the analysis of cellular states at single-cell resolution. Cluster analyses leveraging single-cell transcriptome and epigen...
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An approach to Prolog programming based on patterns is presented. Two classes of patterns are identified. Skeletons are programs constituting a specific control flow and act as reusable starting components for program...
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Progress in understanding multisensory integration in human have suggested researchers that the integration may result into the enhancement or depression of incoming *** is evident based on different psychological and...
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Progress in understanding multisensory integration in human have suggested researchers that the integration may result into the enhancement or depression of incoming *** is evident based on different psychological and behavioral experiments that stimuli coming from different perceptual modalities at the same time or from the same place,the signal having more strength under the influence of emotions effects the response *** research inmultisensory integration has not studied the effect of emotions despite its significance and natural influence in multisensory enhancement or ***,there is a need to integrate the emotional state of the agent with incoming stimuli for signal enhancement or *** this study,two different neural network-based learning algorithms have been employed to learn the impact of emotions on signal enhancement or *** was observed that the performance of a proposed system for multisensory integration increases when emotion features were present during enhancement or depression of multisensory signals.
We automate live and dead forensic evidence gathering for MAC spoofer investigations and formalize its encoding in Forensic Lucid for subsequent reasoning. The monitoring covers a Faculty's network focusing on 100...
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The Internet of Drones (IoD) extends the capabilities of unmanned aerial vehicles, enabling them to participate in a connected network. In IoD infrastructure, drones communicate not only among themselves but also with...
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The development of microarray-based high-throughput gene expression has led to the hope that this technology could provide an efficient cancer diagnosis and classification platform. A major problem in these gene expre...
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In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit ...
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Given a set P of n red and blue points in the plane, a planar bichromatic spanning tree of P is a geometric spanning tree of P, such that each edge connects between a red and a blue point, and no two edges intersect. ...
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Microarray data are expected to be useful for cancer classification. The main problem that needs to be addressed is the selection of a smaller subset of genes from the thousands of genes in the data that contributes t...
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