Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine

Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine

Cancer subtype information is significant to understand tumour heterogeneity. Present methods to find cancer subtypes have focused on utilizing traditional clustering algorithms such as hierarchical clustering. Since most of these methods depend on high dimensional data, the drawback is to divide th...

Saved in:

書目詳細資料
主要作者:	Machap, Logenthiran
格式:	Thesis
語言:	English
出版:	2021
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/96282/1/LogenthiranMachapPSC2021.pdf.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

A hybrid genetic algorithm and support vector machine classifier for feature selection and classification of gene expression
由: Tan Ah Chik @ Mohamad, Mohd. Saberi
出版: (2005)

Grey relational analysis feature selection for cancer classification using support vector machine
由: Sy. Ahmad Ubaidillah, Sharifah Hafizah
出版: (2014)

Email categorization using support vector machine
由: Mohd. Daud, Mariah
出版: (2004)

Gene selection and classification in autism gene expression data
由: Al-Jaf, Shilan Sameen Hameed
出版: (2017)

Identification of skin disease using Gray Level Co-occurrence Matrix and Support Vector Machine / Muhammad Amsyar Omar
由: Omar, Muhammad Amsyar
出版: (2022)

Effective gene selection techniques for classification of gene expression data
由: Yeo, Lee Chin
出版: (2005)

Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin
由: Sahrudin, Nur Syafiqah
出版: (2020)

Image retrieval based on user feedback with support vector machine
由: Voon, Buang Hong
出版: (2016)

Clustering analysis for gene expression data /
由: Zhu, Song
出版: (2001)

Molecular database similarity searching using support vector machines (SVM)
由: Mohammadi, Narges
出版: (2009)

Identification of pathway and gene markers using enhanced directed random walk for multiclass cancer expression data
由: Nies, Hui Wen
出版: (2020)

Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
由: Zuriani, Mustaffa
出版: (2014)

Automatic And Person-Independent Detection Of 3d Facial Expressions Using Enhanced Support Vector Machine With Probability Estimation
由: Abdullah, Amal Abdulaziz
出版: (2014)

Automatic And Person-Independent Detection Of 3d Facial Expressions Using Enhanced Support Vector Machine With Probability Estimation
由: Abdullah, Amal Abdulaziz
出版: (2014)

Anomaly behavior detection using flexible packet filtering and support vector machine algorithms
由: Abdul Wahid, Mohammed N.
出版: (2016)

Arabic language script and encoding identification with support vector machines and rough set theory
由: Mohamed Sidya, Mohamed Ould
出版: (2007)

Improved funnel-gsea using adaptive elastic-net penalization method to identify significant gene sets
由: Mohd. Hasri, Nurul Nadzirah
出版: (2021)

EEG-based emotion classification using wavelet based features and support vector machine classifier
由: M. Razali, Normasliza
出版: (2015)

Sequence comparison latent semantic analysis and support vector machine to detect remote protein homology
由: Ismail, Surayati
出版: (2010)

New hyper-heuristic algorithm for gene fragment assembly
由: Malik, Murniyanti
出版: (2017)

Applications of hidden markov model and support vector machine for state estimation /
由: Aziz, Md. Fayeem
出版: (2014)

A support vector machine based approach for improving accuracy and performance of test oracles /
由: Mohamed, Muhammad Elrashid Yousif
出版: (2017)

Gene network inference using biological homogeneity index based-clustering and constraint-based searching
由: Zainudin, Suhaila
出版: (2010)

Integrative approach of meta-analysis and machine learning in gene expression analysis of cervical cancer /
由: Tan, Mei Sze
出版: (2019)

Genetic algorithms for gene ontology - based protein sequence annotation
由: Othman, Muhamad Razib
出版: (2007)

Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
由: Kader, Nur Izzati Ab
出版: (2019)

Improved scheme of e-mail spam classification using meta-heuristics feature selection and support vector machine
由: Elssied Hamed, Nadir Omer Fadl
出版: (2015)

Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
由: Guramad Singh, Sharon Kaur
出版: (2013)

Detection-criterion independent proof for digital watermark detection : a support vector machine approach
由: Then,, Patrick Hang Hui
出版: (2007)

Comparative revision of artificial intelligent methods for discovering gene expression / Mohd Dzulkarnain Zainal Ahbiddin
由: Zainal Ahbiddin, Mohd Dzulkarnain
出版: (2006)

A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
由: Misman, Muhammad Faiz
出版: (2012)

Fuzzy c-means clustering by incorporating biological knowledge and multi-stage filtering to improve gene function prediction
由: Kasim, Shahreen
出版: (2011)

An improved biclustering algorithm with overlapping control for identification of informative genes and pathways
由: Mohammad Kusairi, Rohani
出版: (2021)

Identification of informative subpathways and genes using improved differential expression analysis for pathways method
由: Nasarudin, Nurul Athirah
出版: (2020)

Traffic-signage detection and recognition on K-means clustering and Support Vector Machine classification
由: Quek, Kelvin Wei Luo
出版: (2014)

Electroencephalogram stress level classification using k-means clustering and support vector machine
由: Tee, Yi Wen
出版: (2021)

Cross-site detection system using Support Vector Machine / Ahmad A’limmuddin Bahrim
由: Bahrim, Ahmad A’limmuddin
出版: (2023)

Enhancements of kernel learning algorithms for clustering
由: Awan, Abdul Majid
出版: (2007)

An efficient robust hyperheuristic clustering algorithm
由: Bonab, Mohammad Babrdel
出版: (2016)

Classification of Fake Profiles Features in Facebook using K-Nearest Neighbour (KNN), Neural Network (NN) and Support Vector Machine (SVM)
由: Ahmad Nasir, Ahmad Nazren Hakimi
出版: (2021)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group

Cannot write session to /tmp/vufind_sessions/sess_8mvoibvf68k7rosj75nhs91vlv