Nov 25, 2021 · We proposed to use Bayesian tensor factorization (BTF) to integrate multi-omics data of breast cancer, which include expression profiles of RNA- ...
We proposed to use Bayesian tensor factorization (BTF) to integrate multi-omics data of breast cancer, which include expression profiles of RNA-sequencing, copy ...
Nov 13, 2024 · Integrative analysis of multiomics data can improve breast cancer subtyping.•Different breast cancer subtypes identified from the study show ...
Jan 1, 2022 · This study focuses on developing a new computational approach for breast cancer subtyping. We proposed to use Bayesian tensor factorization (BTF) ...
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. https://doi.org/10.1016/j.jbi.2021.103958 ·. Journal: Journal of ...
Nov 13, 2024 · Title: Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data · Authors: Qian Liu, Bowen Cheng, Yongwon Jin, ...
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. Corresponding Author: Dr. Pingzhao Hu; Qian Liu; Bowen Cheng ...
To test whether SPEAR could achieve competitive performance in real data, we applied SPEAR to two publicly available multi-omics datasets: a breast cancer ...
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In this chapter, we first described the breast cancer heterogeneity, then showed the principles of tensor and Bayesian tensor factorization, finally showed an ...
Jul 24, 2024 · In this study, a deep learning framework of the Autoencoder is designed to obtain a low-dimensional representation of the early integrated multi-omics dataset.