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Pendekatan ini mengarah pada penemuan pola diferensial yang relevan dengan subtipe luminal serta analisis gen dan jalur yang berkaitan dengan perkembangan maupun prognosis kanker. Rujukan literatur mendukung penggunaan metode pemodelan berbasis fitur genetik, termasuk studi ekspresi, analisis jalur, dan perbandingan kinerja algoritma untuk menunjang diagnosis yang lebih tepat.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/application-of-a-machine-learning-model-for-breast-cancer-subtype-classification-and-key-gene-identification/127362/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/application-of-a-machine-learning-model-for-breast-cancer-subtype-classification-and-key-gene-identification/127362.png","ImageObject",300,407,{"name":89,"@type":90},"Genevieve","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-19","2026-08-05",true,{"@type":99,"interactionType":100,"userInteractionCount":77},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Tujuan utama dokumen ini apa?","Question",{"text":109,"@type":110},"Menerapkan model machine learning untuk mengklasifikasikan subtipe kanker payudara dan mengidentifikasi gen kunci yang relevan dengan penyakit.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Data apa yang menjadi dasar analisis pada pendekatan ini?",{"text":114,"@type":110},"Pendekatan memanfaatkan data ekspresi gen untuk menemukan pola diferensial antar subtipe serta keterkaitan gen dengan karakteristik kanker.",{"name":116,"@type":107,"acceptedAnswer":117},"Mengapa aspek klasifikasi subtipe dan identifikasi gen kunci penting?",{"text":118,"@type":110},"Karena keduanya mendukung penentuan subtipe yang lebih tepat dan memperkuat pemahaman biomarker/gen yang berperan pada perkembangan maupun prognosis kanker.","https://schema.org",{"og:url":79,"og:type":121,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":123,"canonical":79},"index,follow",{"doc_id":125,"site_id":56},127362,1785938511,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":77,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":141},962085564549,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","DAFTAR PUSTAKA  \nAbdelhafiz, A. S., Fouda, M. A., Elzefzafy, N. A., Taha, I. I., Mohemmed, O. M., Alieldin, N. H., Toony, I., Abdel Wahab, A. A., & Farahat, I. G. (2021) . Gene expression analysis of invasive breast carcinoma yields differential patterns in luminal subtypes of breast cancer. Annals of Diagnostic Pathology, 55, 151814. [https://doi.org/10.1016/J.ANNDIAGPATH.2021.151814](https://doi.org/10.1016/J.ANNDIAGPATH.2021.151814)  \nAi, L., Kim, W. J., Alpay, M., Tang, M., Pardo, C. E., Hatakeyama, S., May, W. S., Kladde, M. P., Heldermon, C. D., Siegel, E. M., & Brown, K. D. (2014) . TRIM29 suppresses TWIST1 and invasive breast cancer behavior. Cancer Research, 74(17). [https://doi.org/10.1158/0008-5472.CAN-13-3579](https://doi.org/10.1158/0008-5472.CAN-13-3579)  \nAldwaik, R. K., Shian, D., Thapa, R., Vasudevan, S., Ashqar, M. A. A., Reich, E., Kravchenko-Balasha, N., & Klutstein, M. (2023) . Overexpressed kinetochore genes are used by cancer cells as genome destabilizers and transformation catalysts. Translational Oncology, 34.  \n[https://doi.org/10.1016/j.tranon.2023.101703](https://doi.org/10.1016/j.tranon.2023.101703)  \nAndryan, M. R., Fajri, M., & Sulistyowati, N. (2022) . KOMPARASI KINERJA ALGORITMA XGBOOST DAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) UNTUK DIAGNOSIS PENYAKIT KANKER PAYUDARA. JIKO (Jurnal Informatika Dan Komputer) , 6(1) . [https://doi.org/10.26798/jiko.v6i1.500](https://doi.org/10.26798/jiko.v6i1.500)  \nArianto, A., Amarwati, S., Wijaya, I., Astuti, M. D. K., Miranti, I. P., & Istiadi, H.(2020) . Ekspresi VegfDan Endoglin Sebagai Faktor Prognostik Pada Berbagai Derajat Histopatologik Dan Klasifikasi Molekuler Pada Invasive Breast Carcinoma of No Special Type. JurnalKedokteran STM (Sains Dan Teknologi Medik), 3(2), 59–74. [https://doi.org/10.30743/stm.v3i2.42](https://doi.org/10.30743/stm.v3i2.42)  \nAzis, H., Purnawansyah, P., Fattah, F., & Putri, I. P. (2020) . Performa Klasifikasi K-NN dan Cross Validation Pada Data Pasien Pengidap Penyakit Jantung. ILKOM Jurnal Ilmiah, 12(2), 81–86.  \n[https://doi.org/10.33096/ilkom.v12i2.507.81-86](https://doi.org/10.33096/ilkom.v12i2.507.81-86)  \nBanerjee, A., Das, S., Biswas, A., & Tiwari, A. K. (2025) . An Intelligent Model for prediction of Breast Cancer applying Ant Colony Optimization. Biosciences Biotechnology Research Asia, 22(1), 137–148.  \n[https://doi.org/10.13005/bbra/3347](https://doi.org/10.13005/bbra/3347)  \nBardales, R. H. (2022). Practice Models from my 16 years Performing UltrasoundGuided Fine-Needle Aspiration of Superficial Masses at an Outpatient ClinicPart II. Seminars in Diagnostic Pathology, 39(6), 448–457. [https://doi.org/10.1053/j.semdp.2022.06.009](https://doi.org/10.1053/j.semdp.2022.06.009)  \nBintoro Panji , Ratnasari, Edy Wihardjo, Indah Pratiwi Putri, A. A. (2024) . Pengantar Machine Learning (A. Asari (ed.); 1st ed.) . PT MAFY MEDIA LITERASI INDONESIA.  \nCanesin, G. (2021) . The prostate cancer stem cell niche: Genetic drivers and therapeutic approaches. Advances in Stem Cells and Their Niches, 5, 137–175. [https://doi.org/](https://doi.org/)[https://doi.org/10.1016/bs.asn.2020.09.001](https://doi.org/10.1016/bs.asn.2020.09.001)  \nCao, J., Ma, X., Zhang, G., Hong, S., Ma, R., Wang, Y., Yan, X., & Ma, M. (2023) . Prognostic analyses of genes associated with anoikis in breast cancer. PeerJ, 11. [https://doi.org/10.7717/peerj.15475](https://doi.org/10.7717/peerj.15475)  \nChen, J., Liu, C., Cen, J., Liang, T., Xue, J., Zeng, H., Zhang, Z., Xu, G., Yu, C., Lu, Z., Wang, Z., Jiang, J., Zhan, X., & Zeng, J. (2020) . KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining. In Medicine (United States) (Vol. 99, Issue 18) . [https://doi.org/10.1097/MD.0000000000019986](https://doi.org/10.1097/MD.0000000000019986)  \nChen, M., Zhang, H., Zhang, G., Zhong, A., Ma, Q., Kai, J., Tong, Y., Xie, S., Wang, Y., Zheng, H., Guo, L., & Lu, R. (2018) . Targeting TPX2 suppresses proliferation a","cbCaitbPMpT0qON9","https://ap.wps.com/l/cbCaitbPMpT0qON9","pdf",290638,9,"Indonesian","# Daftar Pustaka\n## Penelitian analisis ekspresi gen pada kanker payudara\n## Studi gen dan jalur terkait subtipe serta prognosis\n## Komparasi algoritma machine learning untuk klasifikasi","[{\"question\":\"Tujuan utama dokumen ini apa?\",\"answer\":\"Menerapkan model machine learning untuk mengklasifikasikan subtipe kanker payudara dan mengidentifikasi gen kunci yang relevan dengan penyakit.\"},{\"question\":\"Data apa yang menjadi dasar analisis pada pendekatan ini?\",\"answer\":\"Pendekatan memanfaatkan data ekspresi gen untuk menemukan pola diferensial antar subtipe serta keterkaitan gen dengan karakteristik kanker.\"},{\"question\":\"Mengapa aspek klasifikasi subtipe dan identifikasi gen kunci penting?\",\"answer\":\"Karena keduanya mendukung penentuan subtipe yang lebih tepat dan memperkuat pemahaman biomarker/gen yang berperan pada perkembangan maupun prognosis kanker.\"}]","PENERAPAN MODEL MACHINE LEARNING UNTUK KLASIFIKASI SUBTIPE KANKER PAYUDARA DAN IDENTIFIKASI GEN KUNC | PDF",14]