이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
- Builds predictive MARS models for each analyte, computes model performance, and estimates significance via permutation testing.
- Inputs and outputs are compatible with the averaging app, clustering app, Dynamic Volcano Plotting App, Dynamic Ratio vs Intensity App, and DPoP.
- Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
- Data from another omics type is not a problem. Includes example transcriptomic data.
- Control minimum statistical significance.
인용 양식
Jessica Slaughter (2026). Omics Multivariate Adaptive Splines Analysis (https://kr.mathworks.com/matlabcentral/fileexchange/183350-omics-multivariate-adaptive-splines-analysis), MATLAB Central File Exchange. 검색 날짜: .
This work is part of a collaboration with the following people and institutions: Harley Edwards, Joseph Zavorskas, Walker Huso, Alexander G. Doan, Steven Harris, Ranjan Srivastava, Mark R. Marten, UMBC, UConn, IowaState.
This material is based upon work supported by the National Science Foundation under Grant No. 2006189. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.0 |
