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mSystems

Cao Y, Achmon Y, Yaron S, Siame BA, Leung KY.
PMID: 34726494
mSystems. 2021 Dec 21;6(6):e0098821. doi: 10.1128/mSystems.00988-21. Epub 2021 Nov 02.

Assembly of a resistome in parallel with the establishment of a microbial community is not well understood. Germfree models can reveal microbiota interactions and shed light on bacterial colonization and resistance development under antibiotic pressure. In this study, we...

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Cao Y, Achmon Y, Yaron S, et al. . mSystems. 2021;6(6):e0098821doi: 10.1128/mSystems.00988-21.
Cao, Y., Achmon, Y., Yaron, S., Siame, B. A., & Leung, K. Y. (2021). . mSystems, 6(6), e0098821. https://doi.org/10.1128/mSystems.00988-21
Cao, Yuping, et al. "." mSystems vol. 6,6 (2021): e0098821. doi: https://doi.org/10.1128/mSystems.00988-21
Cao Y, Achmon Y, Yaron S, Siame BA, Leung KY. . mSystems. 2021 Dec 21;6(6):e0098821. doi: 10.1128/mSystems.00988-21. Epub 2021 Nov 02. PMID: 34726494; PMCID: PMC8562478.
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Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.

PeerJ. Computer science

Egger J, Pepe A, Gsaxner C, Jin Y, Li J, Kern R.
PMID: 34901429
PeerJ Comput Sci. 2021 Nov 17;7:e773. doi: 10.7717/peerj-cs.773. eCollection 2021.

Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep learning tries to achieve this by drawing inspiration from the learning of a human brain. Similar to...

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Egger J, Pepe A, Gsaxner C, et al. Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput Sci. 2021;7:e773doi: 10.7717/peerj-cs.773.
Egger, J., Pepe, A., Gsaxner, C., Jin, Y., Li, J., & Kern, R. (2021). Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ. Computer science, 7e773. https://doi.org/10.7717/peerj-cs.773
Egger, Jan, et al. "Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact." PeerJ. Computer science vol. 7 (2021): e773. doi: https://doi.org/10.7717/peerj-cs.773
Egger J, Pepe A, Gsaxner C, Jin Y, Li J, Kern R. Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput Sci. 2021 Nov 17;7:e773. doi: 10.7717/peerj-cs.773. eCollection 2021. PMID: 34901429; PMCID: PMC8627237.
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Showing 385 to 386 of 386 entries