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431 to 440 of 458 Results
210608_162557_CHO-K1-hM4R-UR-CG072-competition_full.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 6.0 GB - MD5: 51a188e63691371896bc5e712e2c148a
210621_162328_CHO-K1-hM4R-and-CHO-K1-UR-CG072-saturation.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 8.3 GB - MD5: efde2e170a2379e5bc9b94dcfda7591e
210622_154926_CHO-K1-hM4R-UR-CG072-competition_full.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 2.0 GB - MD5: 748762eef6919e197408ed2ebd2ee8f3
migratsioonieelne_statistika.html
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
HTML - 3.0 KB - MD5: 4d0d1dc275c349ebcff04cb234ccc488
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README.txt
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
Plain Text - 3.2 KB - MD5: f08738d456897bb952c2cd4bdcb927d7
migratsioonieelne_statistika.html
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
HTML - 907 B - MD5: c07b6daef3dbee864bf87e6aa836cde2
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README.txt
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
Plain Text - 5.5 KB - MD5: 8ea32d6fc6608c9bb88f3f58393234ff
README
RF-BF-1.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
ZIP Archive - 466.9 MB - MD5: 0e3491e2653da38cb1b3c73146a6cdad
Random forest based bright-field image cell segmentation model as Ilastik model
RF-BF-2.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
Unknown - 1022.6 MB - MD5: aa0b7ff5cf8f238c870cd2ab01567ba5
Random forest based bright-field image cell segmentation model as Ilastik model
RF-FL-1.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
ZIP Archive - 154.0 MB - MD5: 909c653b0327db87759cd487debadda0
Random forest based fluorescence image cell segmentation model as Ilastik model
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