John Kececioglu (19 results)
Language: English
Published by Springer 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
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Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
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Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
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Language: English
Published by Springer 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
Language: English
Published by Springer 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
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Language: English
Published by Springer 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Language: English
Published by Springer 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer-Verlag New York Inc 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. reprint edition. 168 pages. 9.25x6.10x0.40 inches. In Stock.
Language: English
Published by Springer-Verlag New York Inc 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 166 pages. 9.25x6.10x0.63 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automat…ically chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content - examines formulations of parameter advising and their computational complexity, - develops methods for learning good accuracy estimators, - presents approximation algorithms for finding good sets of parameter choices, and - assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to - adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and - ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research.
Language: English
Published by Springer International Publishing 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automatically…chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content - examines formulations of parameter advising and their computational complexity, - develops methods for learning good accuracy estimators, - presents approximation algorithms for finding good sets of parameter choices, and - assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to - adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and - ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research.
Language: English
Published by Springer International Publishing Jun 2019 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a proced…ure that automatically chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content - examines formulations of parameter advising and their computational complexity, - develops methods for learning good accuracy estimators, - presents approximation algorithms for finding good sets of parameter choices, and - assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to - adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and - ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research. 168 pp. Englisch.
Language: English
Published by Springer International Publishing Jan 2018 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 63.22
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure tha…t automatically chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content - examines formulations of parameter advising and their computational complexity, - develops methods for learning good accuracy estimators, - presents approximation algorithms for finding good sets of parameter choices, and - assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to - adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and - ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research. 168 pp. Englisch.
Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Language: English
Published by Springer 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer International Publishing 2019
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advi…sor is a procedure that.
Language: English
Published by Springer International Publishing 2018
Series: Computational Biology, Book 13 of 21. Book 13 of 21 - Computational Biology
- Hardcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 57.17
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advi…sor is a procedure that.
