Hala M. Alshamlan, Lamia Almoajil, Khawlah AlBabtain, Manal BinShalaan, Rand AlMahmoud, Sara AlTuwaijri
{"title":"癌症生物标志物规则发现","authors":"Hala M. Alshamlan, Lamia Almoajil, Khawlah AlBabtain, Manal BinShalaan, Rand AlMahmoud, Sara AlTuwaijri","doi":"10.1109/NCG.2018.8592934","DOIUrl":null,"url":null,"abstract":"This paper aims to obtain valuable knowledge from the biological dataset by providing a tool that applies normalization to the dataset and then reduce the high dimensionality by selecting only informative genes in order to extract rules. Each process supported by visualization representation.","PeriodicalId":305464,"journal":{"name":"2018 21st Saudi Computer Society National Computer Conference (NCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cancer Biomarker Rule Discovery\",\"authors\":\"Hala M. Alshamlan, Lamia Almoajil, Khawlah AlBabtain, Manal BinShalaan, Rand AlMahmoud, Sara AlTuwaijri\",\"doi\":\"10.1109/NCG.2018.8592934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to obtain valuable knowledge from the biological dataset by providing a tool that applies normalization to the dataset and then reduce the high dimensionality by selecting only informative genes in order to extract rules. Each process supported by visualization representation.\",\"PeriodicalId\":305464,\"journal\":{\"name\":\"2018 21st Saudi Computer Society National Computer Conference (NCC)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 21st Saudi Computer Society National Computer Conference (NCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCG.2018.8592934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st Saudi Computer Society National Computer Conference (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCG.2018.8592934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper aims to obtain valuable knowledge from the biological dataset by providing a tool that applies normalization to the dataset and then reduce the high dimensionality by selecting only informative genes in order to extract rules. Each process supported by visualization representation.