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National Institutes of Health

Papers overview

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Highly Cited
2017
Highly Cited
2017
Deep neural networks (DNNs) have demonstrated impressive performance in complex machine learning tasks such as image… (More)
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Highly Cited
2015
Highly Cited
2015
The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often… (More)
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Highly Cited
2015
Highly Cited
2015
As high-throughput techniques including proteomics become more accessible to individual laboratories, there is an urgent need for… (More)
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Highly Cited
2014
Highly Cited
2014
Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization… (More)
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2014
2014
BACKGROUND Hierarchical clustering is an exploratory data analysis method that reveals the groups (clusters) of similar objects… (More)
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2014
2014
SUMMARY The generation of large volumes of omics data to conduct exploratory studies has become feasible and is now extensively… (More)
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Highly Cited
2013
Highly Cited
2013
To verify cluster separation in high-dimensional data, analysts often reduce the data with a dimension reduction (DR) technique… (More)
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Highly Cited
2012
Highly Cited
2012
We introduce Grinder (http://sourceforge.net/projects/biogrinder/), an open-source bioinformatic tool to simulate amplicon and… (More)
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2010
2010
This paper introduces an interactive optimisation method based on MultiObjective Particle Swarm Optimisation that allows a human… (More)
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Highly Cited
2008
Highly Cited
2008
The development of complex tissues requires that mitotic progenitor cells integrate information from the environment. The highly… (More)
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