{"title":"应用稀疏基因选择方法从微阵列数据中鉴定基因用于诊断急性髓系和淋巴细胞白血病","authors":"R. Sheikhpour, R. Fazli, S. Mehrabani","doi":"10.18502/IJPHO.V11I2.5838","DOIUrl":null,"url":null,"abstract":"Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection","PeriodicalId":44212,"journal":{"name":"Iranian Journal of Pediatric Hematology and Oncology","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Gene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method\",\"authors\":\"R. Sheikhpour, R. Fazli, S. Mehrabani\",\"doi\":\"10.18502/IJPHO.V11I2.5838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection\",\"PeriodicalId\":44212,\"journal\":{\"name\":\"Iranian Journal of Pediatric Hematology and Oncology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2021-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Pediatric Hematology and Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18502/IJPHO.V11I2.5838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Pediatric Hematology and Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18502/IJPHO.V11I2.5838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PEDIATRICS","Score":null,"Total":0}
Gene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method
Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection