Academic Journal
Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits
| العنوان: | Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits |
|---|---|
| المؤلفون: | Glastonbury, Craig A., Pulit, Sara L., Honecker, Julius, Censin, Jenny C., Laber, Samantha, Yaghootkar, Hanieh, Rahmioglu, Nilufer, Pastel, Emilie, Kos, Katerina, Pitt, Andrew, Hudson, Michelle, Nellåker, Christoffer, Beer, Nicola L., Hauner, Hans, Becker, Christian M., Zondervan, Krina T., Frayling, Timothy M., Claussnitzer, Melina, Lindgren, Cecilia M. |
| المساهمون: | Iakoucheva, Lilia M. |
| المصدر: | PLOS Computational Biology ; volume 16, issue 8, page e1008044 ; ISSN 1553-7358 |
| بيانات النشر: | Public Library of Science (PLoS) |
| سنة النشر: | 2020 |
| المجموعة: | PLOS Publications (via CrossRef) |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1371/journal.pcbi.1008044 |
| الاتاحة: | http://dx.doi.org/10.1371/journal.pcbi.1008044 https://dx.plos.org/10.1371/journal.pcbi.1008044 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.B4C8B43F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1371/journal.pcbi.1008044 |
|---|