[HTML][HTML] Classifying breast cancer molecular subtypes by using deep clustering approach
N Rohani, C Eslahchi - Frontiers in genetics, 2020 - frontiersin.org
Cancer is a complex disease with a high rate of mortality. The characteristics of tumor
masses are very heterogeneous; thus, the appropriate classification of tumors is a critical …
masses are very heterogeneous; thus, the appropriate classification of tumors is a critical …
Deep learning with evolutionary and genomic profiles for identifying cancer subtypes
Cancer subtype identification is an unmet need in precision diagnosis. Recently,
evolutionary conservation has been indicated to contain informative signatures for functional …
evolutionary conservation has been indicated to contain informative signatures for functional …
[HTML][HTML] An integrative deep learning framework for classifying molecular subtypes of breast cancer
Classification of breast cancer subtypes using multi-omics profiles is a difficult problem since
the data sets are high-dimensional and highly correlated. Deep neural network (DNN) …
the data sets are high-dimensional and highly correlated. Deep neural network (DNN) …
Deep learning based model for breast cancer subtype classification
Breast cancer has long been a prominent cause of mortality among women. Diagnosis,
therapy, and prognosis are now possible, thanks to the availability of RNA sequencing tools …
therapy, and prognosis are now possible, thanks to the availability of RNA sequencing tools …
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified
T Shibahara, C Wada, Y Yamashita, K Fujita, M Sato… - Plos one, 2023 - journals.plos.org
Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best
treatment strategy. Deep learning can predict the subtypes from genetic information more …
treatment strategy. Deep learning can predict the subtypes from genetic information more …
DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
Background Breast cancer is a collection of multiple tissue pathologies, each with a distinct
molecular signature that correlates with patient prognosis and response to therapy …
molecular signature that correlates with patient prognosis and response to therapy …
Breast cancer molecular subtype classification using deep features: preliminary results
Radiogenomics is a field of investigation that attempts to examine the relationship between
imaging characteris-tics of cancerous lesions and their genomic composition. This could …
imaging characteris-tics of cancerous lesions and their genomic composition. This could …
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 …
RNA‐Seq‐Based Breast Cancer Subtypes Classification Using Machine Learning Approaches
Z Yu, Z Wang, X Yu, Z Zhang - Computational intelligence and …, 2020 - Wiley Online Library
Background. Breast invasive carcinoma (BRCA) is not a single disease as each subtype has
a distinct morphology structure. Although several computational methods have been …
a distinct morphology structure. Although several computational methods have been …
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 …