Cargando…

Machine-Learning-Based m5C Score for the Prognosis Diagnosis of Osteosarcoma

BACKGROUND: Osteosarcoma is a common and highly metastatic malignant tumor, and m5C RNA methylation regulates various biological processes. The purpose of this study was to explore the prognostic role of m5C in osteosarcoma using machine learning. METHODS: Osteosarcoma gene data and the correspondin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Haijie, Xu, Peipei, Song, Yichang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523252/ https://www.ncbi.nlm.nih.gov/pubmed/34671397 http://dx.doi.org/10.1155/2021/1629318

Ejemplares similares

m5C-Related Signatures for Predicting Prognosis in Cutaneous Melanoma with Machine Learning
por: Huang, Maoxin, et al.
Publicado: (2021)

Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning
por: Ji, Yuqiao, et al.
Publicado: (2023)

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques
por: Elseddik, Marwa, et al.
Publicado: (2023)

Transcriptome-Wide Annotation of m(5)C RNA Modifications Using Machine Learning
por: Song, Jie, et al.
Publicado: (2018)

Development of a Machine Learning-Based Autophagy-Related lncRNA Signature to Improve Prognosis Prediction in Osteosarcoma Patients
por: Zhang, Guang-Zhi, et al.
Publicado: (2021)

Editorial: Machine learning and psychosis: Diagnosis, prognosis and treatment
por: D'Ambrosio, Enrico, et al.
Publicado: (2023)

Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
por: Li, Yawei, et al.
Publicado: (2022)

Employing machine learning using ferroptosis-related genes to construct a prognosis model for patients with osteosarcoma
por: Huang, Hui, et al.
Publicado: (2023)

WNT6 is an effective marker for osteosarcoma diagnosis and prognosis
por: Jiang, Kai, et al.
Publicado: (2018)

Corrigendum: Transcriptome-Wide Annotation of m(5)C RNA Modifications Using Machine Learning
por: Song, Jie, et al.
Publicado: (2018)

Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients
por: Li, Wenle, et al.
Publicado: (2022)

Machine Learning-Based Scoring System for Early Prognosis Evaluation of Patients with Coronavirus Disease 2019
por: Zhang, Hao-Min, et al.
Publicado: (2023)

Supervised machine learning models applied to disease diagnosis and prognosis
por: Mariani, Maria C, et al.
Publicado: (2019)

An interpretable machine learning framework for diagnosis and prognosis of COVID-19
por: Fan, Yongxian, et al.
Publicado: (2023)

Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review
por: Montazeri, Mahdieh, et al.
Publicado: (2021)

EFEMP1 as a Potential Biomarker for Diagnosis and Prognosis of Osteosarcoma
por: Wang, Zhuo, et al.
Publicado: (2020)

Association between Body Condition Score and Cancer Prognosis in Dogs with Lymphoma and Osteosarcoma
por: Romano, F.R., et al.
Publicado: (2016)

Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma
por: Du, Huibin, et al.
Publicado: (2022)

Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
por: Liu, Xuehan, et al.
Publicado: (2023)

Role of Artificial Intelligence and Machine Learning in Prediction, Diagnosis, and Prognosis of Cancer
por: Gaur, Kritika, et al.
Publicado: (2022)

Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis
por: Allegra, Alessandro, et al.
Publicado: (2023)

Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
por: Allegra, Alessandro, et al.
Publicado: (2022)

Scope and challenges of machine learning-based diagnosis and prognosis in clinical dentistry: A literature review
por: Reyes, Lilian Toledo, et al.
Publicado: (2021)

Editorial: Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning
por: Li, Baojuan, et al.
Publicado: (2022)

Machine learning-based construction of immunogenic cell death-related score for improving prognosis and response to immunotherapy in melanoma
por: Li, Guoyin, et al.
Publicado: (2023)

Machine learning-based diagnosis for disseminated intravascular coagulation (DIC): Development, external validation, and comparison to scoring systems
por: Yoon, Jihoon G., et al.
Publicado: (2018)

Serum CEACAM1 Level Is Associated with Diagnosis and Prognosis in Patients with Osteosarcoma
por: Yu, Haiying, et al.
Publicado: (2016)

Machine learning and experimental validation to construct a metastasis-related gene signature and ceRNA network for predicting osteosarcoma prognosis
por: Liao, Yong, et al.
Publicado: (2022)

Machine Learning Demonstrates High Accuracy for Disease Diagnosis and Prognosis in Plastic Surgery
por: Mantelakis, Angelos, et al.
Publicado: (2021)

The deficiency of 5-methylcytosine (5mC) and its ramification in the occurrence and prognosis of colon cancer
por: Yan, Xin-Xin, et al.
Publicado: (2023)

NSUN2 promotes osteosarcoma progression by enhancing the stability of FABP5 mRNA via m(5)C methylation
por: Yang, Min, et al.
Publicado: (2023)

C4.5: programs for machine learning
por: Quinlan, J Ross
Publicado: (1992)

Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma
por: Bai, Bing‐li, et al.
Publicado: (2022)

Machine learning for predicting the survival in osteosarcoma patients: Analysis based on American and Hebei Province cohort
por: Hao, Yahui, et al.
Publicado: (2023)

Applications of Machine Learning to Diagnosis of Parkinson’s Disease
por: Lai, Hong, et al.
Publicado: (2023)

LSINCT5 predicts unfavorable prognosis and exerts oncogenic function in osteosarcoma
por: He, Weidong, et al.
Publicado: (2019)

Hippocampus Radiomic Biomarkers for the Diagnosis of Amnestic Mild Cognitive Impairment: A Machine Learning Method
por: Feng, Qi, et al.
Publicado: (2019)

Prognostic value of inflammation-based scores in patients with osteosarcoma
por: Liu, Bangjian, et al.
Publicado: (2016)

Analysis of Immune–Stromal Score-Based Gene Signature and Molecular Subtypes in Osteosarcoma: Implications for Prognosis and Tumor Immune Microenvironment
por: Zheng, Dingzhao, et al.
Publicado: (2021)

A 5‐year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms
por: Yu, Wenke, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_gsa74ihfb5t65v7f2l19h4qj2q