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Mendeley readers
Chapter title |
Logical Reasoning (Inferencing) on MicroRNA Data
|
---|---|
Chapter number | 15 |
Book title |
Bioinformatics in MicroRNA Research
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Published in |
Methods in molecular biology, May 2017
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DOI | 10.1007/978-1-4939-7046-9_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7044-5, 978-1-4939-7046-9
|
Authors |
Jingsong Wang Ph.D., Jingsong Wang |
Editors |
Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu |
Abstract |
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated reasoning based on knowledge described in the form of logic rules. We also introduce tools that could be used for building automated reasoning systems with microRNA data. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 45% |
Researcher | 3 | 27% |
Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 55% |
Medicine and Dentistry | 2 | 18% |
Chemical Engineering | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Philosophy | 1 | 9% |
Other | 0 | 0% |