Cargando…

Recurrence prediction of lung adenocarcinoma using an immune gene expression and clinical data trained and validated support vector machine classifier

BACKGROUND: Immune microenvironment plays a critical role in cancer from onset to relapse. Machine learning (ML) algorithm can facilitate the analysis of lab and clinical data to predict lung cancer recurrence. Prompt detection and intervention are crucial for long-term survival in lung cancer relap...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shen, Yingran, Goparaju, Chandra, Yang, Yang, Babu, Benson A., Gai, Weiming, Pass, Harvey, Jiang, Gening
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654435/ https://www.ncbi.nlm.nih.gov/pubmed/38025809 http://dx.doi.org/10.21037/tlcr-23-473

Ejemplares similares

Support vector machines classifiers of physical activities in preschoolers
por: Zhao, Wei, et al.
Publicado: (2013)

Classifying Dysphagic Swallowing Sounds with Support Vector Machines
por: Miyagi, Shigeyuki, et al.
Publicado: (2020)

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
por: Chao, Chih-Feng, et al.
Publicado: (2015)

Support vector machine classifier for prediction of the metastasis of colorectal cancer
por: Zhi, Jiajun, et al.
Publicado: (2018)

Construction of a 26-feature gene support vector machine classifier for smoking and non-smoking lung adenocarcinoma sample classification
por: Yang, Lei, et al.
Publicado: (2018)

Glycosylation site prediction using ensembles of Support Vector Machine classifiers
por: Caragea, Cornelia, et al.
Publicado: (2007)

Classifying DNA repair genes by kernel-based support vector machines
por: Jiang, Hao, et al.
Publicado: (2011)

Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients
por: Shang, Zhenglu, et al.
Publicado: (2021)

A six-gene support vector machine classifier contributes to the diagnosis of pediatric septic shock
por: Long, Guoli, et al.
Publicado: (2020)

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
por: Zhang, Chaoyang, et al.
Publicado: (2006)

A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy
por: He, Yunfei, et al.
Publicado: (2017)

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
por: Jäger, Jonas, et al.
Publicado: (2023)

Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples
por: Hu, Minwei, et al.
Publicado: (2021)

A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
por: Yang, Zhe, et al.
Publicado: (2018)

Deep Features for Training Support Vector Machines
por: Nanni, Loris, et al.
Publicado: (2021)

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma
por: Sun, Chao-Yang, et al.
Publicado: (2015)

A support vector machine and a random forest classifier indicates a 15-miRNA set related to osteosarcoma recurrence
por: He, Yunfei, et al.
Publicado: (2018)

Differentially Private Singular Value Decomposition for Training Support Vector Machines
por: Sun, Zhenlong, et al.
Publicado: (2022)

Classifying LEP Data with Support Vector Algorithms
por: Vannerem, P., et al.
Publicado: (1999)

Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier
por: Yang, Xiaoqiang
Publicado: (2018)

SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data
por: Pirooznia, Mehdi, et al.
Publicado: (2006)

Support Vector Machine Classifier for Estrogen Receptor Positive and Negative Early-Onset Breast Cancer
por: Upstill-Goddard, Rosanna, et al.
Publicado: (2013)

Analysis and prediction of human acetylation using a cascade classifier based on support vector machine
por: Ning, Qiao, et al.
Publicado: (2019)

Detection and Classification of Myocardial Infarction with Support Vector Machine Classifier Using Grasshopper Optimization Algorithm
por: Safdarian, Naser, et al.
Publicado: (2021)

Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults
por: Alizadeh, Jalal, et al.
Publicado: (2021)

Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area
por: Chen, Bingrong, et al.
Publicado: (2022)

DPWSS: differentially private working set selection for training support vector machines
por: Sun, Zhenlong, et al.
Publicado: (2021)

Support Vector Machine for Lung Adenocarcinoma Staging Through Variant Pathways
por: Di, Feng, et al.
Publicado: (2020)

An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine
por: Zhang, Yudong, et al.
Publicado: (2013)

eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines
por: Huang, Fang, et al.
Publicado: (2016)

AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
por: Meng, Chaolu, et al.
Publicado: (2019)

Twin support vector machines: models, extensions and applications
por: Jayadeva, et al.
Publicado: (2017)

Epigenetically regulated PAX6 drives cancer cells toward a stem-like state via GLI-SOX2 signaling axis in lung adenocarcinoma
por: Ooki, Akira, et al.
Publicado: (2018)

Development of a Biosensor for Detection of Pleural Mesothelioma Cancer Biomarker Using Surface Imprinting
por: Mathur, Aabhas, et al.
Publicado: (2013)

Support Vector Machines
por: Deng, Naiyang
Publicado: (2012)

Support vector machines
por: Steinwart, Ingo, et al.
Publicado: (2008)

Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier
por: Li, Gang, et al.
Publicado: (2013)

Combination of the Manifold Dimensionality Reduction Methods with Least Squares Support vector machines for Classifying the Species of Sorghum Seeds
por: Chen, Y. M., et al.
Publicado: (2016)

Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders
por: Smolander, Johannes, et al.
Publicado: (2019)

Recognition of Acute Lymphoblastic Leukemia Cells in Microscopic Images Using K-Means Clustering and Support Vector Machine Classifier
por: Amin, Morteza Moradi, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_c0qrjam4lgutdjqkj526m3qkhv