Multiomics Topic Modeling for Breast Cancer Classification
The integration of transcriptional data with other layers of information, such as the post-transcriptional regulation mediated by microRNAs, can be crucial to identify the driver genes and the subtypes of complex and heterogeneous diseases such as cancer. This paper presents an approach based on top...
Main Authors: | Filippo Valle, Matteo Osella, Michele Caselle |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/14/5/1150 |
Similar Items
-
Interplay of microRNA and epigenetic regulation in the human regulatory network.
by: Matteo eOsella, et al.
Published: (2014-10-01) -
MicroRNAs at the human 14q32 locus have prognostic significance in osteosarcoma
by: Sarver Aaron L, et al.
Published: (2013-01-01) -
Improving the Diagnostic Potential of Extracellular miRNAs Coupled to Multiomics Data by Exploiting the Power of Artificial Intelligence
by: Alessandro Paolini, et al.
Published: (2022-06-01) -
Clinical Translatability of “Identified” Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update
by: Anna Maria Grimaldi, et al.
Published: (2019-06-01) -
Data Integration Reveals the Potential Biomarkers of Circulating MicroRNAs in Osteoarthritis
by: Thuan Duc Lao, et al.
Published: (2021-02-01)