Machine Learning & Text Mining methods for mining biological data sets

Language: English

Published by LAP LAMBERT Academic Publishing, 2018

6139874017 / 9786139874019

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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

Title
Machine Learning & Text Mining methods for mining biological data sets
Author
Kamal Rawal
Publisher
LAP LAMBERT Academic Publishing
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139874017
ISBN 13
9786139874019
Item weight
167 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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