[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125218-en":3,"doc-seo-125218-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125218,1099514067415,"Rowan","https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502",8,"Research & Report","Prediction of Drug Targets for Pancreatic Cancer Using Machine Learning Techniques - Thesis","Pancreatic cancer ranks among the deadliest cancers due to very low survival rates, making early diagnosis critical for improving outcomes. Because early screening is costly and pancreatic cancer is rare, research focuses on machine learning methods that enable earlier detection and support prediction tasks such as survival, immunotherapy response, and recurrence risk. The work addresses the challenge of limited, specific drug targets by leveraging biological insights into signaling pathways and metabolic vulnerabilities. Using the Pan-Cancer GDSC dataset, multiple machine learning models predict drug targets and identify promising targets via feature-importance approaches.","Prediction of Drug Targets for Pancreatic Cancer Using Machine Learning  \nTechniques  \nBy  \nManasvi Girishbhai Patel  \nA thesis submitted in partial fulfillment  \nOf the requirements for the degree of  \nMaster of Science (M.Sc.) Computational Sciences  \nThe Office of Graduate Studies  \nLaurentian University  \nSudbury, Ontario, Canada  \n© Manasvi Girishbhai Patel, 2023  \nTHESIS DEFENCE COMMITTEE/COMITÉ DE SOUTENANCEDE THÈSE Laurentian Université/Université Laurentienne  \nOffice of Graduate Studies/Bureau des études supérieures  \nTitle of Thesis  \nTitre de la thèse Prediction of Drug Targets for Pancreatic Cancer Using Machine Learning Techniques  \nName of Candidate Nom du candidat  \nDegree  \nDiplôme  \nProgram  \nProgramme  \nPatel, Manasvi  \nMaster of Science  \nMSc Computational Sciences  \nDate of Defence  \nDate de la soutenance May 16, 2023  \nAPPROVED/APPROUVÉ  \nThesis Examiners/Examinateurs de thèse:  \nD. Kalpdrum Passi  \n(Supervisor/Directeur(trice) de thèse)  \nDr. Ratvinder Grewal  \n(Committee member/Membre du comité)  \nDr. Vasu Appanna  \n(Committee member/Membre du comité)  \nApproved for the Office of Graduate Studies  \nApprouvé pour le Bureau des études supérieures  \nTammy Eger, PhD  \nVice-President Research (Office of Graduate Studies)  \nDr. Dharmveer Singh Rajpoot Vice-rectrice à la recherche (Bureau des études supérieures)(External Examiner/Examinateur externe) Laurentian University / Université Laurentienne  \nACCESSIBILITY CLAUSE AND PERMISSION TO USE  \nI, Manasvi Patel, hereby grant to Laurentian University and/or its agents the non-exclusive license to archive and make accessible my thesis, dissertation, or project report in whole or in part in all forms of media, now or for the duration of my copyright ownership. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also reserve the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by the professor or professors who supervised my thesis work or, in their absence, by the Head of the Department in which my thesis work was done. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that this copy is being made available in this form by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.  \nAbstract  \nPancreatic cancer is one of the deadliest cancers with a very low survival rate. However, people who are diagnosed early have much longer survival than the ones who are not diagnosed with early screening. Therefore, the importance of early diagnosis and consequently, the treatment of pancreatic cancer can be understood. As pancreatic cancer is rare, early screening for pancreatic cancer is extremely costly. Research has been going on to find such techniques that can detect and hence diagnose pancreatic cancer early through Machine Learning models and use them even for the prediction of survival, Immunotherapy response, risk of re-occurrence, etc. The successful implementation of this technology in the prediction of the presence of pancreatic cancer is a breakthrough as it will greatly increase the survival rate as well as the life expectancy of such patients. One of the major challenges in the treatment of pancreatic cancer is the lack of specific and effective drug targets. In recent years, advances in our understanding of the biology of pancreatic cancer have led to the identification of several potential drug targets, including oncogenic signaling pathways, and cellular metabolism. Pancreatic cancer cells are highly metabolic, relying on ","cbCaihdoffiILK4o","https://ap.wps.com/l/cbCaihdoffiILK4o","pdf",1615701,1,78,"English","en",105,"# Abstract\n# Acknowledgements\n# Abbreviation\n# Table of Contents","[{\"question\":\"Why is early diagnosis important for pancreatic cancer in this thesis?\",\"answer\":\"Early diagnosis extends survival compared with diagnoses made without early screening. It also motivates using computational approaches to support earlier detection and clinical decision-making.\"},{\"question\":\"What data source is used to predict drug targets?\",\"answer\":\"The study uses the Pan-Cancer dataset from the Genomics of Drug Sensitivity in Cancer (GDSC).\"},{\"question\":\"Which machine learning models are applied to predict drug targets?\",\"answer\":\"The thesis applies several models, including Random Forest feature importance, Bagging, Dense Neural Network, Naïve Bayes, Multilayer Perceptron, K-Nearest Neighbors, Support Vector Machines, Long Short-Term Memory, Recurrent Neural Network, and XGBoost.\"}]","Prediction of Drug Targets for Pancreatic Cancer Using Machine Learning Techniques - Thesis | PDF",1785897565,197,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"prediction-of-drug-targets-for-pancreatic-cancer-using-machine-learning-techniques-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/prediction-of-drug-targets-for-pancreatic-cancer-using-machine-learning-techniques-thesis/125218/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is early diagnosis important for pancreatic cancer in this thesis?","Question",{"text":75,"@type":76},"Early diagnosis extends survival compared with diagnoses made without early screening. It also motivates using computational approaches to support earlier detection and clinical decision-making.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What data source is used to predict drug targets?",{"text":80,"@type":76},"The study uses the Pan-Cancer dataset from the Genomics of Drug Sensitivity in Cancer (GDSC).",{"name":82,"@type":73,"acceptedAnswer":83},"Which machine learning models are applied to predict drug targets?",{"text":84,"@type":76},"The thesis applies several models, including Random Forest feature importance, Bagging, Dense Neural Network, Naïve Bayes, Multilayer Perceptron, K-Nearest Neighbors, Support Vector Machines, Long Short-Term Memory, Recurrent Neural Network, and XGBoost.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]