Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data
Ultrahigh-dimensional gene features are often collected in modern cancer studies in which the number of gene features p is extremely larger than sample size n. While gene expression patterns have been shown to be related to patients' survival in microarray-based gene expression studies, one has...
محفوظ في:
المؤلفون الرئيسيون: | Peng, Mengjiao, Xiang, Liming |
---|---|
مؤلفون آخرون: | School of Physical and Mathematical Sciences |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/157027 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
-
Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers
بواسطة: Peng, Mengjiao, وآخرون
منشور في: (2023) -
Joint Modelling of Survival and Longitudinal Data under Nested Case-control Sampling
بواسطة: ELIAN CHIA HUI SAN
منشور في: (2013) -
Semiparametric regression analysis of clustered survival data with semi-competing risks
بواسطة: Peng, Mengjiao, وآخرون
منشور في: (2019) -
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
بواسطة: Shi, Qiushi, وآخرون
منشور في: (2022) -
Growth and survival of international joint ventures: An external-internal legitimacy perspective
بواسطة: LU, Jane W., وآخرون
منشور في: (2010)