Recent advances in types and extant of medical imaging technologies has led to proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …
R AzaÃŊs, F Ingels - Journal of Machine Learning Research, 2020 - jmlr.org
Tree data are ubiquitous because they model a large variety of situations, eg, the architecture of plants, the secondary structure of RNA, or the hierarchy of XML files …
R Azaïs, A Genadot, B Henry - arXiv preprint arXiv:1609.01057, 2016 - arxiv.org
Tree-structured data naturally appear in various fields, particularly in biology where plants and blood vessels may be described by trees, but also in computer science because XML …
X Wu, H Zhu - Statistics in Medicine, 2022 - Wiley Online Library
We propose a new approach to test associations between binary trees and covariates. In this approach, binary‐tree structured data are treated as sample paths of binary fission …
Tree data are ubiquitous because they model a large variety of situations, eg, the architecture of plants, the secondary structure of RNA, or the hierarchy of XML files …
Imaging of tumors is a standard step in diagnosing cancer and making subsequent treatment decisions. The emerging field of radiomics aims to extract quantitative features …
With the rapid development of modern high-throughput technologies, scientists can now collect high-dimensional complex data in different forms, such as medical images, genomics …