title: Can-CSC-GBE: Developing Cost-sensitive Classifier with Gentleboost Ensemble for breast cancer classification using protein amino acids and imbalanced data.
abstract: Early prediction of breast cancer is important for effective treatment and survival. We developed an effective Cost-Sensitive Classifier with GentleBoost Ensemble (Can-CSC-GBE) for the classification of breast cancer using protein amino acid features. In this work, first, discriminant information of the protein sequences related to breast tissue is extracted. Then, the physicochemical properties hydrophobicity and hydrophilicity of amino acids are employed to generate molecule descriptors in different feature spaces. For comparison, we obtained results by combining Cost-Sensitive learning with conventional ensemble of AdaBoostM1 and Bagging. The proposed Can-CSC-GBE system has effectively reduced the misclassification costs and thereby improved the overall classification performance. Our novel approach has highlighted promising results as compared to the state-of-the-art ensemble approaches.
authors.affiliation: Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore 45650, Islamabad, Pakistan. Electronic address: safdarali_11@pieas.edu.pk.
authors.forename: Safdar
authors.initials: S
authors.lastname: Ali
authors.affiliation: Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore 45650, Islamabad, Pakistan. Electronic address: abdulmajiid@pieas.edu.pk.
authors.forename: Abdul
authors.initials: A
authors.lastname: Majid
authors.affiliation: Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore 45650, Islamabad, Pakistan. Electronic address: gibranjaved_11@pieas.edu.pk.
authors.forename: Syed Gibran
authors.initials: SG
authors.lastname: Javed
authors.affiliation: Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore 45650, Islamabad, Pakistan. Electronic address: mohsin_14@pieas.edu.pk.
authors.forename: Mohsin
authors.initials: M
authors.lastname: Sattar
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D009363:Neoplasm Proteins / Q000235:genetics* / Q000378:metabolism; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D009363:Neoplasm Proteins
keywords: Breast cancer; Cost-sensitive classifier; GentleBoost ensemble; Imbalanced data; Tissue protein