Cargando…

Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms

Background: Almost all patients treated with androgen deprivation therapy (ADT) eventually develop castration-resistant prostate cancer (CRPC). Our research aims to elucidate the potential biomarkers and molecular mechanisms that underlie the transformation of primary prostate cancer into CRPC. Meth...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Zhen, Zou, Jing, Zhang, Le, Liu, Hongru, Jiang, Bei, Liang, Yi, Zhang, Yuzhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354439/ https://www.ncbi.nlm.nih.gov/pubmed/37476415 http://dx.doi.org/10.3389/fgene.2023.1184704

Ejemplares similares

Systematically understanding the immunity leading to CRPC progression
por: Ji, Zhiwei, et al.
Publicado: (2019)

Comprehensive Identification and Alternative Splicing of Microexons in Drosophila
por: Pang, Ting-Lin, et al.
Publicado: (2021)

Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms
por: Yin, Yu, et al.
Publicado: (2023)

Novel peripheral blood diagnostic biomarkers screened by machine learning algorithms in ankylosing spondylitis
por: Wen, Jian, et al.
Publicado: (2022)

Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms
por: Li, Weimin, et al.
Publicado: (2022)

Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs
por: Li, Guoqi, et al.
Publicado: (2023)

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification
por: Mamoshina, Polina, et al.
Publicado: (2018)

Editorial: Machine learning for biological sequence analysis
por: Lv, Zhibin, et al.
Publicado: (2023)

A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates
por: Lin, Ying, et al.
Publicado: (2020)

Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data
por: Parkinson, Edward, et al.
Publicado: (2023)

A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors
por: Pang, Liangyue, et al.
Publicado: (2021)

A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data
por: Cao, Xiaowen, et al.
Publicado: (2022)

Immune checkpoint inhibitors in mCRPC - rationales, challenges and perspectives
por: Taghizadeh, H., et al.
Publicado: (2019)

Integration of three machine learning algorithms identifies characteristic RNA binding proteins linked with diagnosis, immunity and pyroptosis of IgA nephropathy
por: Zhang, Xueqin, et al.
Publicado: (2022)

Editorial: Machine Learning and Mathematical Models for Single-Cell Data Analysis
por: Ou-Yang, Le, et al.
Publicado: (2022)

Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms
por: Aasim, Muhammad, et al.
Publicado: (2022)

Predicting Diabetes Mellitus With Machine Learning Techniques
por: Zou, Quan, et al.
Publicado: (2018)

Editorial: Machine Learning Techniques on Gene Function Prediction
por: Zou, Quan, et al.
Publicado: (2019)

Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms
por: Park, Chaeyoon, et al.
Publicado: (2022)

Comprehensive Characterization of the RNA Editomes in Cancer Development and Progression
por: Luo, Haitao, et al.
Publicado: (2018)

Editorial: Machine learning methods in single-cell immune and drug response prediction
por: Qi, Ren, et al.
Publicado: (2023)

Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
por: Qi, Ren, et al.
Publicado: (2022)

Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms
por: Liu, Chunjiang, et al.
Publicado: (2022)

Identification of new co-diagnostic genes for sepsis and metabolic syndrome using single-cell data analysis and machine learning algorithms
por: Tao, Linfeng, et al.
Publicado: (2023)

Discovery of TIGIT inhibitors based on DEL and machine learning
por: Xiong, Feng, et al.
Publicado: (2022)

Prediction of CTCF loop anchor based on machine learning
por: Zhang, Xiao, et al.
Publicado: (2023)

A Discovery of a Genetic Mutation Causing Reduction of Atrogin-1 Expression in Broiler Chicken Muscle
por: Li, Jinxiu, et al.
Publicado: (2019)

A Machine Learning Method for Drug Combination Prediction
por: Li, Jiang, et al.
Publicado: (2020)

Evaluation of Biomarkers and Immune Microenvironment of Osteoarthritis: Evidence From Omics Data and Machine Learning
por: Liu, Zhixin, et al.
Publicado: (2022)

Predicting Ion Channels Genes and Their Types With Machine Learning Techniques
por: Han, Ke, et al.
Publicado: (2019)

Machine learning in the development of targeting microRNAs in human disease
por: Luo, Yuxun, et al.
Publicado: (2023)

Comprehensive Genomic Discovery of Non-Coding Transcriptional Enhancers in the African Malaria Vector Anopheles coluzzii
por: Holm, Inge, et al.
Publicado: (2022)

Emerging Proteins in CRPC: Functional Roles and Clinical Implications
por: Kong, Piaoping, et al.
Publicado: (2022)

Inter-Residue Distance Prediction From Duet Deep Learning Models
por: Zhang, Huiling, et al.
Publicado: (2022)

Deep learning methods may not outperform other machine learning methods on analyzing genomic studies
por: Dong, Yao, et al.
Publicado: (2022)

Comprehensive Analysis of Aerobic Exercise-Related Genes Identifies CDCA4 That Promotes the Progression of Osteosarcoma
por: Hao, Suyu, et al.
Publicado: (2021)

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning
por: Zhang, Guishan, et al.
Publicado: (2020)

Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods
por: He, Zongzhen, et al.
Publicado: (2021)

Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning
por: Liu, Jinya, et al.
Publicado: (2022)

Machine Learning for Discovery of GSK3β Inhibitors
por: Vignaux, Patricia A., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_u5cog0gvo6hmqg4rn4cg1mvq29