Cargando…

Identification of Subtype-Specific Prognostic Genes for Early-Stage Lung Adenocarcinoma and Squamous Cell Carcinoma Patients Using an Embedded Feature Selection Algorithm

The existence of fundamental differences between lung adenocarcinoma (AC) and squamous cell carcinoma (SCC) in their underlying mechanisms motivated us to postulate that specific genes might exist relevant to prognosis of each histology subtype. To test on this research hypothesis, we previously pro...

Descripción completa

Detalles Bibliográficos
Autor principal:	Tian, Suyan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520527/ https://www.ncbi.nlm.nih.gov/pubmed/26226392 http://dx.doi.org/10.1371/journal.pone.0134630

Ejemplares similares

Test on existence of histology subtype-specific prognostic signatures among early stage lung adenocarcinoma and squamous cell carcinoma patients using a Cox-model based filter
por: Tian, Suyan, et al.
Publicado: (2015)

Construction of subtype-specific prognostic gene signatures for early-stage non-small cell lung cancer using meta feature selection methods
por: Liu, Chunshui, et al.
Publicado: (2019)

Identification of subtype-specific prognostic signatures using Cox models with redundant gene elimination
por: Tian, Suyan
Publicado: (2018)

Classification and survival prediction for early-stage lung adenocarcinoma and squamous cell carcinoma patients
por: Tian, Suyan
Publicado: (2017)

Identification of long non-coding RNA signatures for squamous cell carcinomas and adenocarcinomas
por: Tian, Suyan, et al.
Publicado: (2020)

Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods
por: Tian, Suyan, et al.
Publicado: (2017)

Weighted gene expression profiles identify diagnostic and prognostic genes for lung adenocarcinoma and squamous cell carcinoma
por: Wu, Xing, et al.
Publicado: (2019)

Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases
por: Xie, Juanying, et al.
Publicado: (2013)

The cox-filter method identifies respective subtype-specific lncRNA prognostic signatures for two human cancers
por: Tian, Suyan, et al.
Publicado: (2020)

A Novel Early-Stage Lung Adenocarcinoma Prognostic Model Based on Feature Selection With Orthogonal Regression
por: Tang, Binhua, et al.
Publicado: (2021)

GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies
por: Tian, Suyan, et al.
Publicado: (2021)

Significance of histologic subtype size as a prognostic indicator in stage IA lung adenocarcinoma
por: Jeon, Hyun Woo, et al.
Publicado: (2023)

Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome
por: Hernández-Torruco, José, et al.
Publicado: (2014)

Designing an Embedded Feature Selection Algorithm for a Drowsiness Detector Model Based on Electroencephalogram Data
por: Bencsik, Blanka, et al.
Publicado: (2023)

Molecular Differences between Squamous Cell Carcinoma and Adenocarcinoma Cervical Cancer Subtypes: Potential Prognostic Biomarkers
por: Campos-Parra, Alma D., et al.
Publicado: (2022)

Identification of Serum MicroRNAs as Novel Biomarkers in Esophageal Squamous Cell Carcinoma Using Feature Selection Algorithms
por: Zheng, Deqiang, et al.
Publicado: (2019)

Prognostic Nomograms Based on Ground Glass Opacity and Subtype of Lung Adenocarcinoma for Patients with Pathological Stage IA Lung Adenocarcinoma
por: Zhai, Wenyu, et al.
Publicado: (2021)

Prognostic impact according to the proportion of the lepidic subtype in stage IA acinar‐predominant lung adenocarcinoma
por: Jeon, Hyun Woo, et al.
Publicado: (2021)

Systematical identifications of prognostic meaningful lung adenocarcinoma subtypes and the underlying mutational and expressional characters
por: Lv, Zhenyang, et al.
Publicado: (2020)

Identification of prognostic immune subtypes of lung squamous cell carcinoma by unsupervised consistent clustering
por: Wang,, Yuhan, et al.
Publicado: (2023)

Incorporating Pathway Information into Feature Selection towards Better Performed Gene Signatures
por: Tian, Suyan, et al.
Publicado: (2019)

Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time
por: Tian, Suyan, et al.
Publicado: (2019)

Early-stage serrated adenocarcinomas are divided into several molecularly distinct subtypes
por: Hirano, Daiki, et al.
Publicado: (2019)

Identification and Validation of Invasion-Related Molecular Subtypes and Prognostic Features for Cervical Cancer
por: Wang, Xingling, et al.
Publicado: (2022)

An Adaptive Feature Selection Algorithm for Fuzzy Clustering Image Segmentation Based on Embedded Neighbourhood Information Constraints
por: Ren, Hang, et al.
Publicado: (2020)

Identification of a circadian gene signature that predicts overall survival in lung adenocarcinoma
por: Gao, Xinliang, et al.
Publicado: (2021)

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma
por: Li, Rui, et al.
Publicado: (2014)

Prognostic Value of Selected Histologic Features for Lung Squamous Cell Carcinoma
por: Fan, Justine, et al.
Publicado: (2022)

Identification of Molecular Subtypes and a Prognostic Signature Based on Inflammation-Related Genes in Colon Adenocarcinoma
por: Qiu, Chenjie, et al.
Publicado: (2021)

Identification and validation of molecular subtype and prognostic signature for lung adenocarcinoma based on neutrophil extracellular traps
por: Zuo, Yanhua, et al.
Publicado: (2023)

Identification of Distinct Molecular Subtypes of Endometrioid Adenocarcinoma
por: Lei, Jia, et al.
Publicado: (2021)

Visualization-Aided Classification Ensembles Discriminate Lung Adenocarcinoma and Squamous Cell Carcinoma Samples Using Their Gene Expression Profiles
por: Zhang, Ao, et al.
Publicado: (2014)

Retracted: Identification and Validation of Invasion-Related Molecular Subtypes and Prognostic Features for Cervical Cancer
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features
por: Tian, Leqi, et al.
Publicado: (2023)

Identification of an Individualized Metabolism Prognostic Signature and Related Therapy Regimens in Early Stage Lung Adenocarcinoma
por: Hu, Junjie, et al.
Publicado: (2021)

Identification and Validation of the Immune Subtypes of Lung Adenocarcinoma: Implications for Immunotherapy
por: Song, Yang, et al.
Publicado: (2020)

Identification of an Innate Immune-Related Prognostic Signature in Early-Stage Lung Squamous Cell Carcinoma
por: Li, Liang, et al.
Publicado: (2021)

To select relevant features for longitudinal gene expression data by extending a pathway analysis method
por: Tian, Suyan, et al.
Publicado: (2018)

Deep learning algorithm reveals two prognostic subtypes in patients with gliomas
por: Tian, Jing, et al.
Publicado: (2022)

Feature selection based on differentially correlated gene pairs reveals the mechanism of IFN-β therapy for multiple sclerosis
por: Jin, Tao, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_4an4jiigpdcc7ahe0le6okfgsd