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- Q90017312 description "artículu científicu espublizáu n'abril de 2019" @default.
- Q90017312 description "im April 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q90017312 description "scientific article published on 04 April 2019" @default.
- Q90017312 description "wetenschappelijk artikel" @default.
- Q90017312 description "наукова стаття, опублікована 4 квітня 2019" @default.
- Q90017312 name "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 name "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 type Item @default.
- Q90017312 label "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 label "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 prefLabel "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 prefLabel "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 P1433 Q90017312-A9F2F2B5-6DC2-49BB-9121-0338375D636C @default.
- Q90017312 P1476 Q90017312-1F3C0293-B699-415A-AC67-283705DDC4EF @default.
- Q90017312 P2093 Q90017312-267EFF78-A5DD-49C6-8EC1-F76D298851BD @default.
- Q90017312 P2093 Q90017312-32C79031-B17E-445C-B90A-3D4406819437 @default.
- Q90017312 P2093 Q90017312-38349306-1116-48F4-B00D-0EFFE5FF220B @default.
- Q90017312 P2093 Q90017312-41917370-6F31-4694-8303-92C485A5C60D @default.
- Q90017312 P2093 Q90017312-7E17CD0E-51E2-42BB-A802-67516FAE077E @default.
- Q90017312 P2093 Q90017312-8F28C908-D85B-45C0-89BD-E69CF02D0F4B @default.
- Q90017312 P2093 Q90017312-A06BB40A-95BD-4276-B580-C504507D3D9B @default.
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- Q90017312 P304 Q90017312-37BC2CA5-144F-490B-BFF5-C7DEDD28C9F4 @default.
- Q90017312 P31 Q90017312-B20098F9-099C-4132-92D4-D507EA355C7E @default.
- Q90017312 P356 Q90017312-D8261ED7-B5B8-4251-9119-4A6AD369F867 @default.
- Q90017312 P478 Q90017312-BAF07B2E-7376-4D3D-A937-28B6C5D8DD48 @default.
- Q90017312 P50 Q90017312-BF2C62EC-A9A7-4157-BBFF-3D2E97B3BC7D @default.
- Q90017312 P50 Q90017312-F93A5CAB-8812-48EA-9781-9014C0750CE9 @default.
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- Q90017312 P921 Q90017312-CAE4C9DE-C6AB-40B6-B467-A71FA075F6EB @default.
- Q90017312 P356 J.FSIGEN.2019.03.015 @default.
- Q90017312 P698 31003081 @default.
- Q90017312 P1433 Q15751467 @default.
- Q90017312 P1476 "Novel taxonomy-independent deep learning microbiome approach allows for accurate classification of different forensically relevant human epithelial materials" @default.
- Q90017312 P2093 "André G Uitterlinden" @default.
- Q90017312 P2093 "Arwin Ralf" @default.
- Q90017312 P2093 "Athina Vidaki" @default.
- Q90017312 P2093 "Celia Díez López" @default.
- Q90017312 P2093 "Diego Montiel González" @default.
- Q90017312 P2093 "Djawad Radjabzadeh" @default.
- Q90017312 P2093 "Manfred Kayser" @default.
- Q90017312 P2093 "Oscar Lao" @default.
- Q90017312 P304 "72-82" @default.
- Q90017312 P31 Q13442814 @default.
- Q90017312 P356 "10.1016/J.FSIGEN.2019.03.015" @default.
- Q90017312 P478 "41" @default.
- Q90017312 P50 Q114300895 @default.
- Q90017312 P50 Q40160098 @default.
- Q90017312 P577 "2019-04-04T00:00:00Z" @default.
- Q90017312 P698 "31003081" @default.
- Q90017312 P921 Q197536 @default.