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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… Expand
Wikipedia

Related topics

Related topics

2 relations

Broader (1)

Bioinformatics
Proteomics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Source apportionment and sensitivity analysis: two methodologies with two different purposes
Abstract. This work reviews the existing methodologies for source apportionment and sensitivity analysis to identify key… Expand
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Review
2017
Review
2017
Vanilla PP for Philosophers: A Primer on Predictive Processing
The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts… Expand
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Review
2017
Review
2017
Modeling urban building energy use: A review of modeling approaches and procedures
Abstract With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
A Bayesian Computer Vision System for Modeling Human Interactions
We describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual… Expand
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Highly Cited
1993
Highly Cited
1993
Magnetic bistability in a metal-ion cluster
MAGNETIC materials of mesoscopic dimensions (a few to many thousands of atoms) may exhibit novel and useful properties such as… Expand
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Highly Cited
1987
Highly Cited
1987
Three-Dimensional Object Recognition from Single Two-Dimensional Images
  • D. Lowe
  • Artif. Intell.
  • 1987
    • Corpus ID: 678619
Abstract A computer vision system has been implemented that can recognize three-dimensional objects from unknown viewpoints in… Expand
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Highly Cited
1987
Highly Cited
1987
Competitive Learning: From Interactive Activation to Adaptive Resonance
Functional and mechanistic comparisons are made between several network models of cognitive processing: competitive learning… Expand
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