Bottom-up proteomics

Known as: Bottom-up 
Bottom-up proteomics is a common method to identify proteins and characterize their amino acid sequences and post-translational modifications by… (More)
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Papers overview

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Review
2017
Review
2017
This paper is a survey and an analysis of different ways of using deep learning to generate musical content. We propose a… (More)
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Review
2017
Review
2017
In T. Metzinger & W. Wiese (Eds.). Philosophy and Predictive Processing: 1. Frankfurt am Main: MIND Group. doi: 10.15502… (More)
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Highly Cited
2013
Highly Cited
2013
Most existing bottom-up methods measure the foreground saliency of a pixel or region based on its contrast within a local context… (More)
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Highly Cited
2009
Highly Cited
2009
MOTIVATION Quantitative mass spectrometry-based proteomics requires protein-level estimates and associated confidence measures… (More)
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Highly Cited
2009
Highly Cited
2009
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… (More)
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Highly Cited
2009
Highly Cited
2009
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a… (More)
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Highly Cited
2006
Highly Cited
2006
Many experiments have shown that the human visual system makes extensive use of contextual information for facilitating object… (More)
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Highly Cited
2000
Highly Cited
2000
ÐWe describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual… (More)
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Highly Cited
1994
Highly Cited
1994
Reading Genetic Programming IE Automatic Discovery ofReusable Programs (GPII) in its entirety is not a task for the weak-willed… (More)
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Highly Cited
1970
Highly Cited
1970
A parsing algorithm which seems to be the most efficient general context-free algorithm known is described. It is similar to both… (More)
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