| LDR | | 02509nmm uu200445 4500 |
| 001 | | 000000332155 |
| 005 | | 20240805170136 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438238848 |
| 035 | |
▼a (MiAaPQ)AAI10954394 |
| 035 | |
▼a (MiAaPQ)m326m179b |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Li, Ziyi. |
| 245 | 10 |
▼a Statistical Learning Methods for Big Biomedical Data. |
| 260 | |
▼a [S.l.] :
▼b Emory University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 143 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Qi Long. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Emory University, 2018. |
| 520 | |
▼a The rapid advancement of biological and clinical technologies has generated several distinct types of big biomedical data, including -omics data and electronic health record data. Such data and their distinct features have created challenges in |
| 520 | |
▼a Principal component analysis (PCA) is a popular tool for dimensionality reduction, data mining, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multip |
| 520 | |
▼a Electronic health record (EHR) data provide promising opportunity to explore personalized treatment regime and to make clinical predictions. Compared with genomics data, EHR data are known for their irregularity and complexity. In addition, anal |
| 520 | |
▼a Biclustering technique can identify local patterns of a data matrix by clustering rows and columns at the same time. Various biclustering methods have been proposed and successfully applied to analyze gene expression data. While existing biclust |
| 520 | |
▼a For future work, we can continue the direction of the first topic and explore the potential extension of sparse PCA combining neural network, or continue the direction of the second topic and replace Word2Vec with recently proposed embedding app |
| 590 | |
▼a School code: 0665. |
| 650 | 4 |
▼a Biostatistics. |
| 650 | 4 |
▼a Bioinformatics. |
| 690 | |
▼a 0308 |
| 690 | |
▼a 0715 |
| 710 | 20 |
▼a Emory University.
▼b Biostatistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0665 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001220
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |