[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290855-105":59,"doc-detail-290855-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","machine-learning-pbft-blockchain-methodology-on-aws-for-proteomics-analytics","Machine Learning & PBFT Blockchain Methodology on AWS for Proteomics Analytics","","Proteomics research, particularly protein identification, is advancing rapidly and has the potential to reshape how biology and medicine are understood. This MSc research project investigates combining machine learning (KNN, neural networks, decision trees, random forest, and logistic regression) with Practical Byzantine Fault Tolerance (PBFT) blockchain and Amazon Web Services (AWS). It evaluates how ML algorithms interpret complex proteomics dataset patterns to improve accuracy and how PBFT blockchain integration into proteomics data management supports latency reduction. Through confidentiality and encryption, the approach strengthens integrity, security, and traceability to enhance credibility in research findings.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/machine-learning-pbft-blockchain-methodology-on-aws-for-proteomics-analytics/290855/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/machine-learning-pbft-blockchain-methodology-on-aws-for-proteomics-analytics/290855.png","ImageObject",300,407,{"name":92,"@type":93},"Skyler","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What problem does the project address in proteomics research?","Question",{"text":113,"@type":114},"Proteomics faces challenges in accurate protein identification and data security, where traditional methods lack precision and scalability and may compromise data integrity and scientific trust.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which machine learning techniques are discussed for protein identification and quantification?",{"text":118,"@type":114},"The project discusses ML algorithms including KNN (K-Nearest Neighbors), neural networks, decision trees, random forest, and logistic regression to interpret complex patterns in proteomics datasets.",{"name":120,"@type":111,"acceptedAnswer":121},"How is PBFT blockchain integrated into the proteomics data management system?",{"text":122,"@type":114},"PBFT blockchain is incorporated into proteomics data management to operate on the AWS cloud, with goals including improved latency handling and stronger confidentiality, encryption, data integrity, security, and traceability.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290855,1789642820,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":46,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":31,"preview_page_count":4},2336464648746,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Machine Learning & PBFT Blockchain Methodology on AWS for Proteomics  \nAnalytics  \nMSc Research Project Cloud Computing  \nSravanthi Challa  \nStudent ID: 21156239  \nSchool of Computing National College of Ireland  \nSupervisor: Shaguna Gupta  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Sravanthi Challa |\n| --- | --- |\n| Student ID: | 21156239 |\n| Programme: | Cloud Computing |\n| Year: | 2023 |\n| Module: | MSc Research Project |\n| Supervisor: | Shaguna Gupta |\n| Submission Due Date: | 14/12/2023 |\n| Project Title: | Machine Learning & PBFT Blockchain Methodology on AWS for Proteomics Analytics |\n| Word Count: | 5926 |\n| Page Count: | 18 |\n\nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: | Sravanthi Challa |\n| --- | --- |\n| Date: | 31st January 2024 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nMachine Learning & PBFT Blockchain Methodology on AWS for Proteomics Analytics  \nSravanthi Challa  \n21156239  \nAbstract  \nProteomics research, in particularly on PROTEIN IDENTIFICATION, an area that is expanding very Fastly and has the potential to completely change how the world think about biology and medicine. In order to help proteomics analyticsto reach new high level, this research project looks into the very helpful technology combination of Machine Learning (ML), Practical Byzantine Fault Tolerance (PBFT) Blockchain, and Amazon Web Services (AWS) . This research focuses on how we use machine learning (ML) algorithms like KNN (K-Nearest Neighbors), Neural Networks, Decision Trees, Random Forest, Logistic Regression, Random Forest or Logistic Regression can interpret complex patterns in proteomics datasets so that it can improve the accuracy of protein identification and quantification. Also, this study includes about how to take in the PBFT Blockchain into the proteomics data management system to work on AWS cloud to obtain latency. Through confidentiality and Encryption, this integration works to strengthen data integrity, security, and traceability throughout the proteomics data process, resulting in increased dependability and credibility in research findings. An interaction between PBFT Blockchain’s strong security features and ML-driven precision in protein analytics is the main expected results, which gives us more precise protein identification and quantification while guaranteeing unmatched levels of data integrity and security in proteomics research.  \nKeywords-Proteomics Analytics, Machine Learning, PBFT Blockchain, AWS.  \n1 Introduction  \nProteomics-study of the large set of different structures and functions of proteins, that supports many cellular processes makes proteomics an important field for biological systems. As mentioned by Osbourn (2014) and Chen, Wang, Li, Xiao, Gao, Huang, Zhao, W","cbCaijVtt0ytXpkF","https://ap.wps.com/l/cbCaijVtt0ytXpkF","pdf",2092253,"English","# 1 Introduction\n## 1.1 Research Question\n## 1.2 Problem Statement","[{\"question\":\"What problem does the project address in proteomics research?\",\"answer\":\"Proteomics faces challenges in accurate protein identification and data security, where traditional methods lack precision and scalability and may compromise data integrity and scientific trust.\"},{\"question\":\"Which machine learning techniques are discussed for protein identification and quantification?\",\"answer\":\"The project discusses ML algorithms including KNN (K-Nearest Neighbors), neural networks, decision trees, random forest, and logistic regression to interpret complex patterns in proteomics datasets.\"},{\"question\":\"How is PBFT blockchain integrated into the proteomics data management system?\",\"answer\":\"PBFT blockchain is incorporated into proteomics data management to operate on the AWS cloud, with goals including improved latency handling and stronger confidentiality, encryption, data integrity, security, and traceability.\"}]","Machine Learning & PBFT Blockchain Methodology on AWS for Proteomics Analytics | PDF"]