Deep Sequencing Data Analysis
Springer US
Chapter title |
Overcoming Interpretability in Deep Learning Cancer Classification
|
---|---|
Book title |
Deep Sequencing Data Analysis
|
Published in |
Methods in molecular biology, February 2021
|
DOI | 10.1007/978-1-0716-1103-6_15 |
Pubmed ID | |
Book ISBNs |
978-1-07-161102-9, 978-1-07-161103-6
|
Authors |
Teo, Yue Yang (Alan), Danilevsky, Artem, Shomron, Noam, Yue Yang (Alan) Teo, Artem Danilevsky, Noam Shomron |
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 33% |
Other | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Student > Bachelor | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 33% |
Agricultural and Biological Sciences | 1 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Computer Science | 1 | 11% |
Neuroscience | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |