|
|
|
|
| LEADER |
02150nma a2200385 u 4500 |
| 001 |
EB002047137 |
| 003 |
EBX01000000000000001190803 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
220822 ||| eng |
| 020 |
|
|
|a 9782889662746
|
| 020 |
|
|
|a 978-2-88966-274-6
|
| 100 |
1 |
|
|a Cai, Yudong
|
| 245 |
0 |
0 |
|a Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases
|h Elektronische Ressource
|
| 260 |
|
|
|b Frontiers Media SA
|c 2020
|
| 300 |
|
|
|a 1 electronic resource (234 p.)
|
| 653 |
|
|
|a Medical genetics / bicssc
|
| 653 |
|
|
|a WES - whole-exome sequencing
|
| 653 |
|
|
|a WGS - whole-genome sequencing
|
| 653 |
|
|
|a NGS - next generation sequencing
|
| 653 |
|
|
|a artificial intelligence
|
| 653 |
|
|
|a non-invasive prenatal testing (NIPT)
|
| 653 |
|
|
|a Science: general issues / bicssc
|
| 700 |
1 |
|
|a Huang, Tao
|
| 700 |
1 |
|
|a Jia, Peilin
|
| 700 |
1 |
|
|a Cai, Yudong
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
|
|a 10.3389/978-2-88966-274-6
|
| 856 |
4 |
0 |
|u https://www.frontiersin.org/research-topics/10371/advanced-interpretable-machine-learning-methods-for-clinical-ngs-big-data-of-complex-hereditary-dise
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/74403
|z DOAB: description of the publication
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 700
|
| 520 |
|
|
|a This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
|