Synopsis
Text mining or data mining is a knowledge discovery tool which is referred to the process of extracting interesting and non-trivial patterns from a database of unstructured texts. Here, we present a new machine learning system to mine biological data sets (text data/scientific literature) to understand relations between two genes (two terms) in a scientific text. The system mimics human intelligence and accurately determine the relations between two genes/proteins. We manually curated literature data sets using deep curation to generate training set. Furthermore, our prediction results were validated with the help of experts to generate confidence to use our system in different real time situations. Next the system was made automated so that people across the world can determine relations between two or more molecules in a text using support vector machines. This semi-automated system is frequently applied by our team to write reviews on a given topic. For example, our team was able to screen and mine over 36000 papers to write a review on molecular docking tools. In 2016, our team were able to reconstruct obesity molecular network using this system(Jaisri et al 2016, Plos One).
"synopsis" may belong to another edition of this title.
Search results for Machine Learning & Text Mining methods for mining...
Seller Image
Machine Learning & Text Mining methods for mining biological data sets
Published by
LAP LAMBERT Academic Publishing Jul 2018, 2018
ISBN 10: 6139874017
ISBN 13: 9786139874019
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Text mining or data mining is a knowledge discovery tool which is referred to the process of extracting interesting and non-trivial patterns from a database of unstructured texts. Here, we present a new machine learning system to mine biological data sets (text data/scientific literature) to understand relations between two genes (two terms) in a scientific text. The system mimics human intelligence and accurately determine the relations between two genes/proteins. We manually curated literature data sets using deep curation to generate training set. Furthermore, our prediction results were validated with the help of experts to generate confidence to use our system in different real time situations. Next the system was made automated so that people across the world can determine relations between two or more molecules in a text using support vector machines. This semi-automated system is frequently applied by our team to write reviews on a given topic. For example, our team was able to screen and mine over 36000 papers to write a review on molecular docking tools. In 2016, our team were able to reconstruct obesity molecular network using this system(Jaisri et al 2016, Plos One). 100 pp. Englisch. Seller Inventory # 9786139874019
Seller Image
Machine Learning & Text Mining methods for mining biological data sets
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139874017
ISBN 13: 9786139874019
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rawal KamalDr. Rawal is an interdisciplinary Scientist-Physician with extensive experience in building data driven precision medicine systems. Being a strong proponent & practitioner of machine learning, he is passionate to build soc. Seller Inventory # 385875282
Buy New
US$ 54.03
Shipping:
US$ 56.55
From Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Machine Learning & Text Mining methods for mining biological data sets
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139874017
ISBN 13: 9786139874019
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Seller Inventory # zk6139874017
Buy New
US$ 111.42
Shipping:
US$ 13.14
From United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Machine Learning & Text Mining methods for mining biological data sets
Published by
LAP LAMBERT Academic Publishing Jul 2018, 2018
ISBN 10: 6139874017
ISBN 13: 9786139874019
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Text mining or data mining is a knowledge discovery tool which is referred to the process of extracting interesting and non-trivial patterns from a database of unstructured texts. Here, we present a new machine learning system to mine biological data sets (text data/scientific literature) to understand relations between two genes (two terms) in a scientific text. The system mimics human intelligence and accurately determine the relations between two genes/proteins. We manually curated literature data sets using deep curation to generate training set. Furthermore, our prediction results were validated with the help of experts to generate confidence to use our system in different real time situations. Next the system was made automated so that people across the world can determine relations between two or more molecules in a text using support vector machines. This semi-automated system is frequently applied by our team to write reviews on a given topic. For example, our team was able to screen and mine over 36000 papers to write a review on molecular docking tools. In 2016, our team were able to reconstruct obesity molecular network using this system(Jaisri et al 2016, Plos One).Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Seller Inventory # 9786139874019
Seller Image
Machine Learning & Text Mining methods for mining biological data sets
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139874017
ISBN 13: 9786139874019
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Text mining or data mining is a knowledge discovery tool which is referred to the process of extracting interesting and non-trivial patterns from a database of unstructured texts. Here, we present a new machine learning system to mine biological data sets (text data/scientific literature) to understand relations between two genes (two terms) in a scientific text. The system mimics human intelligence and accurately determine the relations between two genes/proteins. We manually curated literature data sets using deep curation to generate training set. Furthermore, our prediction results were validated with the help of experts to generate confidence to use our system in different real time situations. Next the system was made automated so that people across the world can determine relations between two or more molecules in a text using support vector machines. This semi-automated system is frequently applied by our team to write reviews on a given topic. For example, our team was able to screen and mine over 36000 papers to write a review on molecular docking tools. In 2016, our team were able to reconstruct obesity molecular network using this system(Jaisri et al 2016, Plos One). Seller Inventory # 9786139874019