Multi-stage feature selection in identifying potential biomarkers for cancer classification

QR Code

Multi-stage feature selection in identifying potential biomarkers for cancer classification

Biomarkers are indicators that show the disease state or its progression of certain health conditions. Identification of biomarkers greatly raises the probability of earlier diagnosis and could be further applied in developing effective treatment for the disease. Besides conducting laboratory analys...

Full description

Bibliographic Details
Main Authors:	Wong, Yit Khee, Chan, Weng Howe, Nies, Hui Wen, Moorthy, Kohbalan
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/39085/ http://umpir.ump.edu.my/id/eprint/39085/1/Multi-stage%20feature%20selection%20in%20identifying%20potential%20biomarkers.pdf http://umpir.ump.edu.my/id/eprint/39085/2/Multi-stage%20feature%20selection%20in%20identifying%20potential%20biomarkers%20for%20cancer%20classification_ABS.pdf

Similar Items

An extreme gradient boosting for cancer feature extraction and classification
by: Chuan, Teo Voon, et al.
Published: (2025)

Survival analysis for the identified cancer gene subtype from the co-clustering algorithm
by: Logenthiran, Machap, et al.
Published: (2022)

Feature extraction and classification stage on facial expression : A review
by: Shidiq, Muchamad Bachram, et al.
Published: (2022)

Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages
by: Wong, Jordan, et al.
Published: (2021)

Optimizing the production of valuable metabolites using a hybrid of constraint-based model and machine learning algorithms : A review
by: Kauthar, Mohd Daud, et al.
Published: (2023)

Robust partitioning and indexing for iris biometric database based on local features
by: Khalaf, Emad Taha, et al.
Published: (2018)

The importance of data classification using machine learning methods in microarray data
by: Jaber, Aws Naser, et al.
Published: (2021)

Driver alcohol monitoring system for vehicle safety control with emergency contact
by: Devanesam SimpsoN, Emmanuel, et al.
Published: (2021)

Enhancing autism screening classification using feature selection and stacking classifier
by: Ainie Hayati, Noruzman, et al.
Published: (2023)

From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases
by: Xu, Deren, et al.
Published: (2024)

ABC: android botnet classification using feature selection and classification algorithms
by: Abdullah, Zubaile, et al.
Published: (2017)

Multi-level of feature extraction and classification for X-Ray medical image
by: Abdulrazaq, M, et al.
Published: (2018)

Comparison of Recursive Feature Elimination and Boruta as Feature Selection in Greenhouse Gas Emission Data Classification
by: Riko, Febrian, et al.
Published: (2024)

An enhanced feature selection and cancer classiﬁcation for microarray data using relaxed Lasso and support vector machine
by: Aina Umairah, Mazlan, et al.
Published: (2021)

Feature selection method based on sparse representation classification for face recognition
by: Boon, Yinn Xi *, et al.
Published: (2014)

A review of feature selection on text classification
by: Nur Syafiqah, Mohd Nafis, et al.
Published: (2018)

A transform-based feature extraction approach for motor imagery tasks classification
by: Baali, Hamza, et al.
Published: (2015)

A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
by: Alsudani, Mustafa Qahtan, et al.
Published: (2023)

Identifying significant features and data mining techniques in predicting cardiovascular disease / Mohammad Shafenoor Amin
by: Mohammad Shafenoor , Amin
Published: (2018)

Efficient feature selection analysis for accuracy malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2021)

Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
by: Ibrahim, Ashraf Osman, et al.
Published: (2017)

Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
by: Nurcahyawati, Vivine, et al.
Published: (2021)

Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
by: Rachmad, Iqbal, et al.
Published: (2024)

Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
by: Khosrowabadi, Reza, et al.
Published: (2011)

The identification of significant mechanomyography time-domain features for the classification of knee motion
by: Said Mohamed, Tarek Mohamed Mahmoud, et al.
Published: (2021)

Waste classification using support vector machine with SIFT-PCA feature extraction
by: Puspaningrum, Adita Putri, et al.
Published: (2020)

A two-stage method for identifying a smaller subset of genes in microarray data
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

Offline handwritten chinese character using convolutional neural network : State-of-the-art methods
by: Zhong, Yingna, et al.
Published: (2023)

Ofﬂine handwritten Chinese character using convolutional neural network: State-of-the-art methods
by: Zhong, Yingna, et al.
Published: (2023)

The classification of blinking: an evaluation of significant time-domain features
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends
by: Mahmood, Khalid, et al.
Published: (2020)

Feature Selection using Binary Simulated Kalman Filter for Peak Classification of EEG Signals
by: Badaruddin, Muhammad, et al.
Published: (2018)

An improved parallelized mRMR for gene subset selection in cancer classification
by: Kusairi, R.M., et al.
Published: (2017)

A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification
by: Shamaileh, Abeer, et al.
Published: (2020)

Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
by: Muhammad Arif, Mohamad, et al.
Published: (2021)

Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images
by: Mohammed, Mazin Abed, et al.
Published: (2018)

The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis
Published: (2022)

CBR system for identifying traditional Chinese herbs / Chan Ho Sang
by: Chan , Ho Sang
Published: (2003)

Improvement of the POLISAS e-request transcript system using query optimization
by: Mohd Hariz, Ibrahim, et al.
Published: (2020)

An improved image compression technique using large adaptive DCT psychovisual thresholds
by: Ernawan, Ferda, et al.
Published: (2019)