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Journal : Jurnal EECCIS

Implementation of Support Vector Machine - Recursive Feature Elimination for MicroRNA Selection in Breast Cancer Classification Permatasari, Ratih; Wibowo, Adi
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i1.602

Abstract

Breast cancer is the most frequent cancer caused death among women. An attempt to reduce death cases caused by breast cancer, was to detect cancer cells when it still in early stage. MicroRNA is one of the biomarker for cancer that can be used to detect cancer cell even in its early stage. However, MicroRNA data tends to have thousand types of expression which required a lot of costs if it examined one by one thoroughly. Feature selection method can be used to extract important MicroRNAs that support clasification process between normal people and people with breast cancer. Support Vector Recursive Feature Elimination (SVM-RFE) is one of the feature selection method that can be used to select MicroRNA data. This research aims to produce the best smallest subset that contains selected MicroRNA expressions using the SVM-RFE as feature selection method. This experiment result showed that the best selected subset was able to provide 99% classification accuracy with only 3 MicroRNA expressions, where 2 from 3 selected MicroRNA hold potential as a biomarker of breast cancer.
Co-Authors Adi Wibowo Adiputera, Yusuf Fahmi Agus Winarno, Agus Airawata, Chintya Puteri Akhmad Yun Jufan Amalia, Iza Nur Amir Amir Andre Leander Anggraini, Kurnia Anindya Wirasatriya Aprillia, Teya Aris Puji Widodo Aris Sugiharto Ariyanti, Atika Astuty, Yulia Indri Aulia Kumala, Shofa Aulia, Hozana Baharun, Hasan Baskoro Baskoro, Baskoro Bayu Surarso Budi Warsito Cendani, Linggar Maretva Chin, Wei Hong Daimah Daimah Daimah, Daimah Darmadi Darmadi Diana Natalia Djayanti Sari Drihananto, Angga Dyna Marisa Khairina Edi Sudrajat eka rahmawati Endang Purwaningsih Evi Frimawaty Fajrul Falah, M Rizqi Faridah, Ida Febriatul Khasanah, Qoidah Firdonsyah, Arizona Gafuraningtyas, Dewi Gunanto, Sigit Hadi, Marhensa Aditya Handayani, Alfania Sarah Helmie Arif Wibawa HENDRI WASITO Hening Pratiwi, Hening I Ketut Agung Enriko Iin Yunita Sari Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya, Indrajaya Ita Nurmalasari Junaedi Abdillah, Junaedi Junta Zeniarja Khusnul Khotimah khusnul khotimah Kosasih, Eva Dania Kubota, Naoyuki Kumala, Shofa Aulia Kuncoro Adi Pradono Kurnianingsih Kurnianingsih, Kurnianingsih Kushartantya Kushartantya Lailiyah, Rosyidah Nur lakantina, Sherly Leni Leni Lily Puspa Dewi Lutfan Lazuardi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Moh. Roqib Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muslihatin Nurhasanah Nahri, Aisyah Chorijatun Napitupulu, Romauli Juliana Nia Kurnia Sholihat, Nia Kurnia Nisa’, Khoirun Noor Azizah Nugroho, Adam Nur Cholid, Nur Nur Hadian Nurmalasari, Ita Paramitha Putri, Nadya Pratomo, Bhirowo Yudho Purwanto Purwanto Putri, Niken Anissa Putro, Abraham Timotius Asmoro Qolbi, Muhammad Syifaa’ul Rahmadi Rani Rubiyanti, Rani Ratih Permatasari Ribah, Muhammad Ato Ibnu Rini Nuraini, Rini Riyan Kurniawan Rizal, Himmatur Rofikatul Maula Roisu Eny Mudawaroch Roziana Roziana, Roziana Saepurohman, Aep Shintiani, Selly Shofy, Yuny Fikriyah Silowati, Mintut Siti Mardiana Siti Nur Hasanah, Siti Nur Slamet Riyanto Solihat, Nia Kurnia Solikin Solikin Sri, Tovani subur subur Suhartini Ismail, Suhartini Supriyatin, Tabah Suseno, Aji suswati suswati Sutikno Sutikno Sutrisno, Sutrisno Tri, Indra Gaya Triraharjo, Bambang Trisna Ningsih Ulumuddin, Imam Khoirul Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Wiranjaya, I Wayan Satryadi Yulia, Nunung Z, M Abdul Fatah Z, Muhammad Abdul Fatah