Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images
0 sources
Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images
Summary
Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images is a master's thesis[1].
Key Facts
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images authored Todor Kirilov Avramov[2].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's instance of is recorded as master's thesis[3].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's OCLC number is recorded as 1100486164[4].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's language of work or name is recorded as English[5].
- +2019-00-00T00:00:00Z marks the founding of Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images[6].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's work available at URL is recorded as http://hdl.handle.net/1773/43604[7].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+130'}[8].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+7'}[9].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's Handle ID is recorded as 1773/43604[10].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's title is recorded as Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images[11].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's thesis submitted to is recorded as University of Washington[12].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
- Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's thesis committee member is recorded as Dong Si[14].
Body
Designation and Status
Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images's instance of is recorded as master's thesis[3].
History and Context
+2019-00-00T00:00:00Z marks the founding of Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3d Cryo-electron Microscopy Images[6].