MicroRNAs as biomarkers for early breast cancer diagnosis, prognosis and therapy prediction
Breast cancer is a major health problem that affects one in eight women worldwide. As such,
detecting breast cancer at an early stage anticipates better disease outcome and prolonged …
detecting breast cancer at an early stage anticipates better disease outcome and prolonged …
MicroRNAs in molecular classification and pathogenesis of breast tumors
Simple Summary Breast cancer is an ideal model of a heterogeneous disease that is
triggered by genetic changes in the normal mammary epithelial cells and manifest as …
triggered by genetic changes in the normal mammary epithelial cells and manifest as …
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data
Y Guo, S Liu, Z Li, X Shang - BMC bioinformatics, 2018 - Springer
Background The classification of cancer subtypes is of great importance to cancer disease
diagnosis and therapy. Many supervised learning approaches have been applied to cancer …
diagnosis and therapy. Many supervised learning approaches have been applied to cancer …
A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data
Background Cancer subtype classification attains the great importance for accurate
diagnosis and personalized treatment of cancer. Latest developments in high-throughput …
diagnosis and personalized treatment of cancer. Latest developments in high-throughput …
Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer
Y Guo, X Shang, Z Li - Neurocomputing, 2019 - Elsevier
The identification of cancer subtypes is vital to advance the precision of cancer disease
diagnosis and therapy. Several works had been done to integrate multiple types of …
diagnosis and therapy. Several works had been done to integrate multiple types of …
Gene expression and miRNAs profiling: function and regulation in human epidermal growth factor receptor 2 (HER2)-positive breast cancer
RM Sareyeldin, I Gupta, I Al-Hashimi, HA Al-Thawadi… - Cancers, 2019 - mdpi.com
Breast cancer is the second most common cause of cancer-related deaths among women
worldwide. It is a heterogeneous disease with four major molecular subtypes. One of the …
worldwide. It is a heterogeneous disease with four major molecular subtypes. One of the …
Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups
D Netanely, A Avraham, A Ben-Baruch, E Evron… - Breast Cancer …, 2016 - Springer
Background Breast cancer is a heterogeneous disease comprising several biologically
different types, exhibiting diverse responses to treatment. In the past years, gene expression …
different types, exhibiting diverse responses to treatment. In the past years, gene expression …
Tree-based machine learning algorithms identified minimal set of miRNA biomarkers for breast cancer diagnosis and molecular subtyping
M Sherafatian - Gene, 2018 - Elsevier
Breast cancer is a complex disease and its effective treatment needs affordable diagnosis
and subtyping signatures. While the use of machine learning approach in clinical …
and subtyping signatures. While the use of machine learning approach in clinical …
A novel deep flexible neural forest model for classification of cancer subtypes based on gene expression data
J Xu, P Wu, Y Chen, Q Meng, H Dawood… - IEEE Access, 2019 - ieeexplore.ieee.org
Classification of cancer subtypes is of paramount importance for diagnosis and prognosis of
cancer. In recent years, deep learning methods have gained considerable popularity for …
cancer. In recent years, deep learning methods have gained considerable popularity for …
RNA interference: Promising approach for breast cancer diagnosis and treatment
Today, cancer is one of the main health‐related challenges, and in the meantime, breast
cancer (BC) is one of the most common cancers among women, with an alarming number of …
cancer (BC) is one of the most common cancers among women, with an alarming number of …