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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Bioinformatics
Proteomics

Papers overview

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Review
2017
Review
2017
Deep Learning Techniques for Music Generation - A Survey
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
Vanilla PP for Philosophers : A Primer on Predictive Processing
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
Saliency Detection via Graph-Based Manifold Ranking
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
A statistical framework for protein quantitation in bottom-up MS-based proteomics
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
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
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
Learning to predict where humans look
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
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.
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
A Bayesian Computer Vision System for Modeling Human Interactions
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
Genetic Programming II: Automatic Discovery of Reusable Programs.
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
An Efficient Context-Free Parsing Algorithm
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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