{"title":"支持精准医疗的生物医学大数据分析","authors":"Desislava Ivanova","doi":"10.55630/mem.2024.53.018-024","DOIUrl":null,"url":null,"abstract":"The goal of this paper is to present the major outcomes of the author scientific research in the area of Big Biomedical Data analytics in support of precision medicine, specifically genomics and oncology. The main parts of the paper reveal the state-of-the art in big data technologies and their significance for the advance of molecular biology and medicine in the context of the computational paradigm for scientific research. Furthermore, it presents approaches for gene finding and early detection of breast cancer and thyroid cancer based on big biomedical data analytics.","PeriodicalId":517751,"journal":{"name":"Mathematics and Education in Mathematics","volume":" 39","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big biomedical data analytics in support of precision medicine\",\"authors\":\"Desislava Ivanova\",\"doi\":\"10.55630/mem.2024.53.018-024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this paper is to present the major outcomes of the author scientific research in the area of Big Biomedical Data analytics in support of precision medicine, specifically genomics and oncology. The main parts of the paper reveal the state-of-the art in big data technologies and their significance for the advance of molecular biology and medicine in the context of the computational paradigm for scientific research. Furthermore, it presents approaches for gene finding and early detection of breast cancer and thyroid cancer based on big biomedical data analytics.\",\"PeriodicalId\":517751,\"journal\":{\"name\":\"Mathematics and Education in Mathematics\",\"volume\":\" 39\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics and Education in Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55630/mem.2024.53.018-024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Education in Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55630/mem.2024.53.018-024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Big biomedical data analytics in support of precision medicine
The goal of this paper is to present the major outcomes of the author scientific research in the area of Big Biomedical Data analytics in support of precision medicine, specifically genomics and oncology. The main parts of the paper reveal the state-of-the art in big data technologies and their significance for the advance of molecular biology and medicine in the context of the computational paradigm for scientific research. Furthermore, it presents approaches for gene finding and early detection of breast cancer and thyroid cancer based on big biomedical data analytics.