scholarly article | Q13442814 |
P50 | author | Hans Hauner | Q21033707 |
Krina Zondervan | Q21264229 | ||
Cecilia Lindgren | Q30347705 | ||
Tim Frayling | Q54627337 | ||
Christoffer Nellåker | Q55296361 | ||
Sara Pulit | Q56356122 | ||
Craig A Glastonbury | Q59570499 | ||
Katarina Kos | Q62933097 | ||
Hanieh Yaghootkar | Q76491920 | ||
Michelle Hudson | Q87607025 | ||
Jenny C Censin | Q88651311 | ||
Christian M Becker | Q89455030 | ||
Julius Honecker | Q92623973 | ||
Nilufer Rahmioglu | Q92826477 | ||
Andrew Pitt | Q98471505 | ||
Melina Claussnitzer | Q114122479 | ||
P2093 | author name string | Samantha Laber | |
Emilie Pastel | |||
Nicola L Beer | |||
P2860 | cites work | IPython: A System for Interactive Scientific Computing | Q24492861 |
CellProfiler: image analysis software for identifying and quantifying cell phenotypes | Q24676898 | ||
CellProfiler 3.0: Next-generation image processing for biology | Q56395621 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | scikit-learn | Q1026367 |
CellProfiler | Q5058134 | ||
scikit-image | Q22442795 | ||
Jupyter notebook file | Q70357595 | ||
P433 | issue | 8 | |
P921 | main subject | machine learning | Q2539 |
adipocyte | Q357519 | ||
P304 | page(s) | e1008044 | |
P577 | publication date | 2020-08-14 | |
P1433 | published in | PLOS Computational Biology | Q2635829 |
P1476 | title | Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits | |
P478 | volume | 16 |
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