دورية أكاديمية

Optimizing the Cell Painting assay for image-based profiling

التفاصيل البيبلوغرافية
العنوان: Optimizing the Cell Painting assay for image-based profiling
المؤلفون: Cimini, Beth A., Chandrasekaran, Srinivas Niranj, Kost-Alimova, Maria, Miller, Lisa, Goodale, Amy, Fritchman, Briana, Byrne, Patrick, Garg, Sakshi, Jamali, Nasim, Logan, David J., Concannon, John B., Lardeau, Charles-Hugues, Mouchet, Elizabeth, Singh, Shantanu, Shafqat Abbasi, Hamdah, Aspesi, Peter, Boyd, Justin D., Gilbert, Tamara, Gnutt, David, Hariharan, Santosh, Hernandez, Desiree, Hormel, Gisela, Juhani, Karolina, Melanson, Michelle, Mervin, Lewis H., Monteverde, Tiziana, Pilling, James E., Skepner, Adam, Swalley, Susanne E., Vrcic, Anita, Weisbart, Erin, Williams, Guy, Yu, Shan, Zapiec, Bolek, Carpenter, Anne E.
المساهمون: U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences, Massachusetts Life Sciences Center, U.S. Department of Health & Human Services | NIH | NIH Office of the Director, Silicon Valley Community Foundation, postdoctoral scholarship from the Knut and Alice Wallenberg Foundation
المصدر: Nature Protocols ; volume 18, issue 7, page 1981-2013 ; ISSN 1754-2189 1750-2799
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2023
مصطلحات موضوعية: General Biochemistry, Genetics and Molecular Biology
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1038/s41596-023-00840-9
الإتاحة: https://doi.org/10.1038/s41596-023-00840-9Test
https://www.nature.com/articles/s41596-023-00840-9.pdfTest
https://www.nature.com/articles/s41596-023-00840-9Test
حقوق: https://www.springernature.com/gp/researchers/text-and-data-miningTest ; https://www.springernature.com/gp/researchers/text-and-data-miningTest
رقم الانضمام: edsbas.7ABBB078
قاعدة البيانات: BASE