Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

M Zitnik, F Nguyen, B Wang, J Leskovec… - Information …, 2019 - Elsevier
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

An overview of deep learning methods for multimodal medical data mining

F Behrad, MS Abadeh - Expert Systems with Applications, 2022 - Elsevier
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

DNA-framework-based multidimensional molecular classifiers for cancer diagnosis

F Yin, H Zhao, S Lu, J Shen, M Li, X Mao, F Li… - Nature …, 2023 - nature.com
A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …

A review on machine learning principles for multi-view biological data integration

Y Li, FX Wu, A Ngom - Briefings in bioinformatics, 2018 - academic.oup.com
Driven by high-throughput sequencing techniques, modern genomic and clinical studies are
in a strong need of integrative machine learning models for better use of vast volumes of …

From big data analysis to personalized medicine for all: challenges and opportunities

A Alyass, M Turcotte, D Meyre - BMC medical genomics, 2015 - Springer
Recent advances in high-throughput technologies have led to the emergence of systems
biology as a holistic science to achieve more precise modeling of complex diseases. Many …

Undisclosed, unmet and neglected challenges in multi-omics studies

S Tarazona, A Arzalluz-Luque, A Conesa - Nature Computational …, 2021 - nature.com
Multi-omics approaches have become a reality in both large genomics projects and small
laboratories. However, the multi-omics research community still faces a number of issues …

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives

J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …