Cargando…

Feature Subset Selection for Cancer Classification Using Weight Local Modularity

Microarray is recently becoming an important tool for profiling the global gene expression patterns of tissues. Gene selection is a popular technology for cancer classification that aims to identify a small number of informative genes from thousands of genes that may contribute to the occurrence of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Guodong, Wu, Yan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050509/ https://www.ncbi.nlm.nih.gov/pubmed/27703256 http://dx.doi.org/10.1038/srep34759

Ejemplares similares

Estimation of Discriminative Feature Subset Using Community Modularity
por: Zhao, Guodong, et al.
Publicado: (2016)

An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset
por: Devaraj, Senthilkumar, et al.
Publicado: (2015)

New feature subset selection procedures for classification of expression profiles
por: Bø, Trond Hellem, et al.
Publicado: (2002)

Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification
por: Hilal, Anwer Mustafa, et al.
Publicado: (2022)

Fizzy: feature subset selection for metagenomics
por: Ditzler, Gregory, et al.
Publicado: (2015)

MapReduce-based big data classification model using feature subset selection and hyperparameter tuned deep belief network
por: Rajendran, Surendran, et al.
Publicado: (2021)

Automatic Sleep Stage Classification of Children with Sleep-Disordered Breathing Using the Modularized Network
por: Wang, Huijun, et al.
Publicado: (2021)

A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory
por: Zangeneh Soroush, Morteza, et al.
Publicado: (2018)

Efficient cross-validation traversals in feature subset selection
por: Lausser, Ludwig, et al.
Publicado: (2022)

Locally Linear Embedding and fMRI Feature Selection in Psychiatric Classification
Publicado: (2019)

Feature Subset Selection for Malware Detection in Smart IoT Platforms
por: Abawajy, Jemal, et al.
Publicado: (2021)

Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
por: Xu, Jiucheng, et al.
Publicado: (2018)

Zheng Classification with Missing Feature Values Using Local-Validity Approach
por: Wang, Yan, et al.
Publicado: (2013)

Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach
por: Beltran, Jesus A., et al.
Publicado: (2018)

Feature weight estimation for gene selection: a local hyperlinear learning approach
por: Cai, Hongmin, et al.
Publicado: (2014)

Blood Pressure Classification Using the Method of the Modular Neural Networks
por: Pulido, Martha, et al.
Publicado: (2019)

A weighted-sum chaotic sparrow search algorithm for interdisciplinary feature selection and data classification
por: Jia, LiYun, et al.
Publicado: (2023)

Optimal combination of feature selection and classification via local hyperplane based learning strategy
por: Cheng, Xiaoping, et al.
Publicado: (2015)

Mental State Classification Using Multi-Graph Features
por: Chen, Guodong, et al.
Publicado: (2022)

Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography
por: Nieto-del-Amor, Félix, et al.
Publicado: (2021)

Classification of COVID-19 Patients into Clinically Relevant Subsets by a Novel Machine Learning Pipeline Using Transcriptomic Features
por: Daamen, Andrea R., et al.
Publicado: (2023)

Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics
por: Lin, Xiaohui, et al.
Publicado: (2017)

Modular Neurodynamics and Its Classification by Synchronization Cores
por: Pasemann, Frank
Publicado: (2021)

Sequence-Based Classification Using Discriminatory Motif Feature Selection
por: Xiong, Hao, et al.
Publicado: (2011)

Extracting backbones in weighted modular complex networks
por: Ghalmane, Zakariya, et al.
Publicado: (2020)

Variable Weighted Ordered Subset Image Reconstruction Algorithm
por: Pan, Jinxiao, et al.
Publicado: (2006)

Global vs local modularity for network community detection
por: Chen, Shi, et al.
Publicado: (2018)

Subset selection in regression
por: Miller, Alan
Publicado: (2002)

Feature selection of gene expression data for Cancer classification using double RBF-kernels
por: Liu, Shenghui, et al.
Publicado: (2018)

A framework model using multifilter feature selection to enhance colon cancer classification
por: Al-Rajab, Murad, et al.
Publicado: (2021)

Classification and Detection of Mesothelioma Cancer Using Feature Selection-Enabled Machine Learning Technique
por: Shobana, M., et al.
Publicado: (2022)

Sparse feature selection for classification and prediction of metastasis in endometrial cancer
por: Ahsen, Mehmet Eren, et al.
Publicado: (2017)

A Hybrid Feature Subset Selection Algorithm for Analysis of High Correlation Proteomic Data
por: Kordy, Hussain Montazery, et al.
Publicado: (2012)

A Wrapper Feature Subset Selection Method Based on Randomized Search and Multilayer Structure
por: Mao, Yifei, et al.
Publicado: (2019)

Effective Feature Selection for Classification of Promoter Sequences
por: K., Kouser, et al.
Publicado: (2016)

Efficient feature selection and classification for microarray data
por: Li, Zifa, et al.
Publicado: (2018)

Modular Weights, U(1)'s and Mass Matrices
por: Leontaris, G.K., et al.
Publicado: (1998)

Modular forms with integral and half-integral weights
por: Wang, Xueli, et al.
Publicado: (2012)

Pan-Cancer Classification Based on Self-Normalizing Neural Networks and Feature Selection
por: Li, Junyi, et al.
Publicado: (2020)

Relevant and Non-Redundant Feature Selection for Cancer Classification and Subtype Detection
por: Rana, Pratip, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_9g2bm8a2clvv0o7n4k35gfa1q8