Multimodal deep learning for biomedical data fusion: a review
SR Stahlschmidt, B Ulfenborg… - Briefings in …, 2022 - academic.oup.com
Biomedical data are becoming increasingly multimodal and thereby capture the underlying
complex relationships among biological processes. Deep learning (DL)-based data fusion …
complex relationships among biological processes. Deep learning (DL)-based data fusion …
Rise of deep learning clinical applications and challenges in omics data: a systematic review
This research aims to review and evaluate the most relevant scientific studies about deep
learning (DL) models in the omics field. It also aims to realize the potential of DL techniques …
learning (DL) models in the omics field. It also aims to realize the potential of DL techniques …
A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data
T Liu, J Huang, T Liao, R Pu, S Liu, Y Peng - Irbm, 2022 - Elsevier
Background The prediction of breast cancer subtypes plays a key role in the diagnosis and
prognosis of breast cancer. In recent years, deep learning (DL) has shown good …
prognosis of breast cancer. In recent years, deep learning (DL) has shown good …
[HTML][HTML] A survey on single and multi omics data mining methods in cancer data classification
Data analytics is routinely used to support biomedical research in all areas, with particular
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …
XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes
Breast cancer is a leading cause of cancer-related deaths among women. The multi-omic
data has revolutionized the methodology to unravel molecular heterogeneity in breast …
data has revolutionized the methodology to unravel molecular heterogeneity in breast …
Investigating deep learning based breast cancer subtyping using pan-cancer and multi-omic data
F Cristovao, S Cascianelli, A Canakoglu… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Breast Cancer comprises multiple subtypes implicated in prognosis. Existing stratification
methods rely on the expression quantification of small gene sets. Next Generation …
methods rely on the expression quantification of small gene sets. Next Generation …
Identification of subtypes in digestive system tumors based on multi-omics data and graph convolutional network
L Zhou, N Wang, Z Zhu, H Gao, Y Zhou… - International Journal of …, 2024 - Springer
Accurately predicting the molecular subtype of cancer patients is of great significance for
personalized diagnosis and treatment of cancer. The progress of a large amount of multi …
personalized diagnosis and treatment of cancer. The progress of a large amount of multi …
Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancer
Effective and precise classification of breast cancer patients for their disease risks is critical
to improve early diagnosis and patient survival. In the recent past, a significant amount of …
to improve early diagnosis and patient survival. In the recent past, a significant amount of …
Deep Learning Techniques in Cancer Prediction Using Genomic Profiles
According to World Health Organization (WHO), cancer is the second major reason of death
followed by cardiovascular diseases. Early diagnosis of cancer is essential to offer correct …
followed by cardiovascular diseases. Early diagnosis of cancer is essential to offer correct …
Breast cancer subtype by imbalanced omics data through a deep learning fusion model
Breast cancer is a highly heterogeneous disease that consists of subtypes with distinct
genetic features and clinical symptoms. The patients with different subtypes react to different …
genetic features and clinical symptoms. The patients with different subtypes react to different …