{"title":"基于非生物数据的dna记忆语义检索的可靠性和质量","authors":"A. Neel, M. Garzon, Phani Penumetsa","doi":"10.1109/CEC.2004.1331126","DOIUrl":null,"url":null,"abstract":"Associative memories based on DNA-affinity have been proposed based in L. M. Adleman (1994) and E. Baum (1995). Previously, we have quantified the quality of retrieval of genomic information in simulation as stated in M. Garzon et al. (2003). Here, the ability of two types of DNA-based memories to store abiotic data and retrieve semantic information is evaluated for soundness and compared to state-of-the-art symbolic methods available, such as LSA (latent semantic analysis) of T. K. Landauer et al. Their ability is poor when performed without a proper compaction procedure. However, when the corpus is summarized through a selection protocol based on PCR or a training procedure on J. Chen et al. (2004) to extract useful information, their performance is much closer to that of LSA, according to human expert ratings. These results are expected to improve and scale up when actual DNA molecules are employed in real test tubes, currently a feasible goal.","PeriodicalId":152088,"journal":{"name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Soundness and quality of semantic retrieval in DNA-based memories with abiotic data\",\"authors\":\"A. Neel, M. Garzon, Phani Penumetsa\",\"doi\":\"10.1109/CEC.2004.1331126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Associative memories based on DNA-affinity have been proposed based in L. M. Adleman (1994) and E. Baum (1995). Previously, we have quantified the quality of retrieval of genomic information in simulation as stated in M. Garzon et al. (2003). Here, the ability of two types of DNA-based memories to store abiotic data and retrieve semantic information is evaluated for soundness and compared to state-of-the-art symbolic methods available, such as LSA (latent semantic analysis) of T. K. Landauer et al. Their ability is poor when performed without a proper compaction procedure. However, when the corpus is summarized through a selection protocol based on PCR or a training procedure on J. Chen et al. (2004) to extract useful information, their performance is much closer to that of LSA, according to human expert ratings. These results are expected to improve and scale up when actual DNA molecules are employed in real test tubes, currently a feasible goal.\",\"PeriodicalId\":152088,\"journal\":{\"name\":\"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2004.1331126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2004.1331126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
L. M. Adleman(1994)和E. Baum(1995)提出了基于dna亲和力的联想记忆。以前,我们已经量化了模拟中基因组信息检索的质量,如M. Garzon等人(2003)所述。本文评估了两种基于dna的记忆存储非生物数据和检索语义信息的能力,并将其与现有的最先进的符号方法(如T. K. Landauer等人的潜在语义分析)进行了比较。如果没有适当的压实程序,它们的能力就很差。然而,当通过基于PCR的选择协议或J. Chen等人(2004)的训练程序对语料库进行总结以提取有用信息时,根据人类专家评级,它们的性能更接近LSA。当真正的DNA分子在真正的试管中使用时,这些结果有望得到改善和扩大,目前这是一个可行的目标。
Soundness and quality of semantic retrieval in DNA-based memories with abiotic data
Associative memories based on DNA-affinity have been proposed based in L. M. Adleman (1994) and E. Baum (1995). Previously, we have quantified the quality of retrieval of genomic information in simulation as stated in M. Garzon et al. (2003). Here, the ability of two types of DNA-based memories to store abiotic data and retrieve semantic information is evaluated for soundness and compared to state-of-the-art symbolic methods available, such as LSA (latent semantic analysis) of T. K. Landauer et al. Their ability is poor when performed without a proper compaction procedure. However, when the corpus is summarized through a selection protocol based on PCR or a training procedure on J. Chen et al. (2004) to extract useful information, their performance is much closer to that of LSA, according to human expert ratings. These results are expected to improve and scale up when actual DNA molecules are employed in real test tubes, currently a feasible goal.