{"title":"新型冠状病毒2 (SARS-CoV-2)核酸序列胶囊网络检测方法","authors":"Bihter Das, S. Toraman","doi":"10.1590/1678-4324-2023220316","DOIUrl":null,"url":null,"abstract":": The new coronavirus SARS-CoV-2 is an infectious virus with a long incubation period, which was first detected in Wuhan, China, spread all over the world, seriously threatening human life. Therefore, accurate and rapid detection of SARS-CoV-2 is very important for controlling the epidemic and preventing its further spread. Currently, nucleic acid detection makes an important contribution to the prevention and control of SARS-CoV-2. In this study, a new and highly sensitive nucleic acid detection method for SARS-CoV-2 has been proposed. The nucleic acid sequences were digitized by Entropy-based mapping technique. Then, the digitized these sequences were divided into 100-unit sections using the sliding window method and given as input to Capsule Networks.10988 segments (5494 SARS-CoV-2, 5494 normal) are classified with capsule nets. With the proposed method, an accuracy performance of 100% was achieved by using capsule networks to identify SARS-CoV-2 from nucleic acid sequences. The results show that the proposed method successfully identifies SARS-CoV-2 from nucleic acid sequences.","PeriodicalId":9169,"journal":{"name":"Brazilian Archives of Biology and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New Coronavirus 2 (SARS-CoV-2) Detection Method from Human Nucleic Acid Sequences Using Capsule Networks\",\"authors\":\"Bihter Das, S. Toraman\",\"doi\":\"10.1590/1678-4324-2023220316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The new coronavirus SARS-CoV-2 is an infectious virus with a long incubation period, which was first detected in Wuhan, China, spread all over the world, seriously threatening human life. Therefore, accurate and rapid detection of SARS-CoV-2 is very important for controlling the epidemic and preventing its further spread. Currently, nucleic acid detection makes an important contribution to the prevention and control of SARS-CoV-2. In this study, a new and highly sensitive nucleic acid detection method for SARS-CoV-2 has been proposed. The nucleic acid sequences were digitized by Entropy-based mapping technique. Then, the digitized these sequences were divided into 100-unit sections using the sliding window method and given as input to Capsule Networks.10988 segments (5494 SARS-CoV-2, 5494 normal) are classified with capsule nets. With the proposed method, an accuracy performance of 100% was achieved by using capsule networks to identify SARS-CoV-2 from nucleic acid sequences. The results show that the proposed method successfully identifies SARS-CoV-2 from nucleic acid sequences.\",\"PeriodicalId\":9169,\"journal\":{\"name\":\"Brazilian Archives of Biology and Technology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Archives of Biology and Technology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1590/1678-4324-2023220316\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Archives of Biology and Technology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1590/1678-4324-2023220316","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
New Coronavirus 2 (SARS-CoV-2) Detection Method from Human Nucleic Acid Sequences Using Capsule Networks
: The new coronavirus SARS-CoV-2 is an infectious virus with a long incubation period, which was first detected in Wuhan, China, spread all over the world, seriously threatening human life. Therefore, accurate and rapid detection of SARS-CoV-2 is very important for controlling the epidemic and preventing its further spread. Currently, nucleic acid detection makes an important contribution to the prevention and control of SARS-CoV-2. In this study, a new and highly sensitive nucleic acid detection method for SARS-CoV-2 has been proposed. The nucleic acid sequences were digitized by Entropy-based mapping technique. Then, the digitized these sequences were divided into 100-unit sections using the sliding window method and given as input to Capsule Networks.10988 segments (5494 SARS-CoV-2, 5494 normal) are classified with capsule nets. With the proposed method, an accuracy performance of 100% was achieved by using capsule networks to identify SARS-CoV-2 from nucleic acid sequences. The results show that the proposed method successfully identifies SARS-CoV-2 from nucleic acid sequences.