{"title":"一位数据科学家在 COVID-19 期间的经验之谈","authors":"Julie Chih-yu Chen","doi":"10.1038/s41564-024-01815-6","DOIUrl":null,"url":null,"abstract":"Julie Chih-yu Chen is the head of Data Sciences at the National Microbiology Laboratory, Public Health Agency of Canada, and an Assistant Professor at the University of Manitoba, Canada. She develops and applies statistical and machine learning techniques to diverse omics data related to infectious disease.","PeriodicalId":18992,"journal":{"name":"Nature Microbiology","volume":"9 10","pages":"2466-2467"},"PeriodicalIF":20.5000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lessons from a data scientist during COVID-19\",\"authors\":\"Julie Chih-yu Chen\",\"doi\":\"10.1038/s41564-024-01815-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Julie Chih-yu Chen is the head of Data Sciences at the National Microbiology Laboratory, Public Health Agency of Canada, and an Assistant Professor at the University of Manitoba, Canada. She develops and applies statistical and machine learning techniques to diverse omics data related to infectious disease.\",\"PeriodicalId\":18992,\"journal\":{\"name\":\"Nature Microbiology\",\"volume\":\"9 10\",\"pages\":\"2466-2467\"},\"PeriodicalIF\":20.5000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Microbiology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41564-024-01815-6\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Microbiology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41564-024-01815-6","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
Julie Chih-yu Chen is the head of Data Sciences at the National Microbiology Laboratory, Public Health Agency of Canada, and an Assistant Professor at the University of Manitoba, Canada. She develops and applies statistical and machine learning techniques to diverse omics data related to infectious disease.
期刊介绍：
Nature Microbiology aims to cover a comprehensive range of topics related to microorganisms. This includes:
Evolution: The journal is interested in exploring the evolutionary aspects of microorganisms. This may include research on their genetic diversity, adaptation, and speciation over time.
Physiology and cell biology: Nature Microbiology seeks to understand the functions and characteristics of microorganisms at the cellular and physiological levels. This may involve studying their metabolism, growth patterns, and cellular processes.
Interactions: The journal focuses on the interactions microorganisms have with each other, as well as their interactions with hosts or the environment. This encompasses investigations into microbial communities, symbiotic relationships, and microbial responses to different environments.
Societal significance: Nature Microbiology recognizes the societal impact of microorganisms and welcomes studies that explore their practical applications. This may include research on microbial diseases, biotechnology, or environmental remediation.
In summary, Nature Microbiology is interested in research related to the evolution, physiology and cell biology of microorganisms, their interactions, and their societal relevance.
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