The Experts below are selected from a list of 117024 Experts worldwide ranked by ideXlab platform
Arne Elofsson - One of the best experts on this subject based on the ideXlab platform.
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TOPCONS: consensus prediction of membrane protein topology
Nucleic Acids Research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by ~10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
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TOPCONS: consensus prediction of membrane protein topology.
Nucleic acids research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by approximately 10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
Andreas Bernsel - One of the best experts on this subject based on the ideXlab platform.
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TOPCONS: consensus prediction of membrane protein topology
Nucleic Acids Research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by ~10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
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TOPCONS: consensus prediction of membrane protein topology.
Nucleic acids research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by approximately 10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
Håkan Viklund - One of the best experts on this subject based on the ideXlab platform.
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TOPCONS: consensus prediction of membrane protein topology
Nucleic Acids Research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by ~10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
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TOPCONS: consensus prediction of membrane protein topology.
Nucleic acids research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by approximately 10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
Aron Hennerdal - One of the best experts on this subject based on the ideXlab platform.
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TOPCONS: consensus prediction of membrane protein topology
Nucleic Acids Research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by ~10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
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TOPCONS: consensus prediction of membrane protein topology.
Nucleic acids research, 2009Co-Authors: Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne ElofssonAbstract:TOPCONS (http://topcons.net/) is a web server for consensus prediction of membrane protein topology. The Underlying Algorithm combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the Underlying methods, both on the protein level and on the level of individual TM regions. Benchmarking the method shows that overall performance levels match the best available topology prediction methods, and for sequences with high reliability scores, performance is increased by approximately 10 percentage points. The web interface allows for constraining parts of the sequence to a known inside/outside location, and detailed results are displayed both graphically and in text format.
Rob Fergus - One of the best experts on this subject based on the ideXlab platform.
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ICML - Learning simple Algorithms from examples
2016Co-Authors: Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob FergusAbstract:We present an approach for learning simple Algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the Underlying Algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.
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Learning Simple Algorithms from Examples
arXiv: Artificial Intelligence, 2015Co-Authors: Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob FergusAbstract:We present an approach for learning simple Algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the Underlying Algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using $Q$-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by $Q$-learning.
