Cargando…

RNA-Seq-Based Breast Cancer Subtypes Classification Using Machine Learning Approaches

BACKGROUND: Breast invasive carcinoma (BRCA) is not a single disease as each subtype has a distinct morphology structure. Although several computational methods have been proposed to conduct breast cancer subtype identification, the specific interaction mechanisms of genes involved in the subtypes a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Zhezhou, Wang, Zhuo, Yu, Xiangchun, Zhang, Zhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644310/ https://www.ncbi.nlm.nih.gov/pubmed/33178256 http://dx.doi.org/10.1155/2020/4737969

Ejemplares similares

Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer
por: Xie, Tianwen, et al.
Publicado: (2019)

Co-expression based cancer staging and application
por: Yu, Xiangchun, et al.
Publicado: (2020)

Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer
por: Cascianelli, Silvia, et al.
Publicado: (2020)

Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning
por: Bissanum, Rassanee, et al.
Publicado: (2021)

Evaluation of classification in single cell atac-seq data with machine learning methods
por: Guo, Hongzhe, et al.
Publicado: (2022)

Machine learning and bioinformatics approaches for classification and clinical detection of bevacizumab responsive glioblastoma subtypes based on miRNA expression
por: Shi, Jian
Publicado: (2022)

Classification Prediction of Breast Cancer Based on Machine Learning
por: Chen, Hua, et al.
Publicado: (2023)

Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq
por: Xu, Jieyun, et al.
Publicado: (2022)

Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
por: Wang, Zhanwei, et al.
Publicado: (2023)

Machine learning based study for the classification of Type 2 diabetes mellitus subtypes
por: Ordoñez-Guillen, Nelson E., et al.
Publicado: (2023)

Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approach
por: Gould, Ian C., et al.
Publicado: (2014)

An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile
por: Estévez, Olivia, et al.
Publicado: (2020)

A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes
por: Li, Xiaohong, et al.
Publicado: (2018)

Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
por: Bhardwaj, Arpit, et al.
Publicado: (2022)

Machine Learning in Antibody Diagnostics for Inflammatory Bowel Disease Subtype Classification
por: Sokollik, Christiane, et al.
Publicado: (2023)

Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classification
por: Park, Kwang Ho, et al.
Publicado: (2021)

Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers?
por: Johnson, Nathan T., et al.
Publicado: (2018)

A machine learning framework for scRNA-seq UMI threshold optimization and accurate classification of cell types
por: Bishara, Isaac, et al.
Publicado: (2022)

Breast Cancer Type Classification Using Machine Learning
por: Wu, Jiande, et al.
Publicado: (2021)

Machine learning for pan-cancer classification based on RNA sequencing data
por: Štancl, Paula, et al.
Publicado: (2023)

Classification of breast cancer patients using somatic mutation profiles and machine learning approaches
por: Vural, Suleyman, et al.
Publicado: (2016)

A Target Detection Algorithm for Remote Sensing Images Based on Deep Learning
por: Lv, Yi, et al.
Publicado: (2021)

Characterization of Pyroptosis-Related Subtypes via RNA-Seq and ScRNA-Seq to Predict Chemo-Immunotherapy Response in Triple-Negative Breast Cancer
por: Li, Chenlu, et al.
Publicado: (2022)

A Hybrid Machine Learning and Network Analysis Approach Reveals Two Parkinson’s Disease Subtypes from 115 RNA-Seq Post-Mortem Brain Samples
por: Termine, Andrea, et al.
Publicado: (2022)

Mammographic image classification with deep fusion learning
por: Yu, Xiangchun, et al.
Publicado: (2020)

Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data
por: Huang, Guo-Hua, et al.
Publicado: (2021)

The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour subtype classification
por: Prade, Verena M., et al.
Publicado: (2022)

Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations
por: Huang, Zhi, et al.
Publicado: (2020)

Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets
por: Zhang, Yu-Hang, et al.
Publicado: (2017)

Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning
por: Alonso-Betanzos, Amparo, et al.
Publicado: (2015)

An Optimized Framework for Breast Cancer Classification Using Machine Learning
por: Michael, Epimack, et al.
Publicado: (2022)

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches
por: Shia, Wei-Chung, et al.
Publicado: (2021)

Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq
por: He, Puxing, et al.
Publicado: (2023)

Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer
por: Bostanci, Erkan, et al.
Publicado: (2023)

Extreme Learning Machine (ELM)-Based Classification of Benign and Malignant Cells in Breast Cancer
por: Toprak, Abdullah
Publicado: (2018)

Machine Learning for Subtyping Concussion Using a Clustering Approach
por: Rosenblatt, Cirelle K., et al.
Publicado: (2021)

Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism
por: Eisenhofer, Graeme, et al.
Publicado: (2020)

Single cell classification of macrophage subtypes by label-free cell signatures and machine learning
por: Dannhauser, David, et al.
Publicado: (2022)

Systemically Identifying Triple-Negative Breast Cancer Subtype-Specific Prognosis Signatures, Based on Single-Cell RNA-Seq Data
por: Xing, Kaiyuan, et al.
Publicado: (2023)

Machine learning based approach to pH imaging and classification of single cancer cells
por: Belotti, Y., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_f77dv32p5j6h82np5j3f4etbc9