Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging-Reference-Cited by-同舟云学术

Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging

Published:2020-08-29 Issue:4 Volume:77 Page:1397-1408
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

He Baihua¹,Zhong Tingyan²³,Huang Jian⁴,Liu Yanyan¹^ORCID,Zhang Qingzhao⁵,Ma Shuangge³^ORCID

Affiliation:

1. School of Mathematics and Statistics Wuhan University Wuhan China

2. SJTU‐Yale Joint Center for Biostatistics Department of Bioinformatics and Biostatistics School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai China

3. Department of Biostatistics Yale School of Public Health New Haven Connecticut

4. Department of Statistics and Actuarial Science University of Iowa Iowa City Iowa

5. Department of Statistics School of Economics Key Laboratory of Econometrics Ministry of Education The Wang Yanan Institute for Studies in Economics Xiamen University Xiamen China

Funder

National Institutes of Health

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13357

Reference20 articles.

1. A weight-relaxed model averaging approach for high-dimensional generalized linear models

2. Heterogeneity assessment of histological tissue sections in whole slide images

3. Tumour heterogeneity and resistance to cancer therapies

4. Deviation optimal learning using greedy $Q$-aggregation

5. Subgroup identification from randomized clinical trial data

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