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An atlas of the protein-coding genes in the human, pig, and mouse brain
An atlas of the protein-coding genes in the human, pig, and mouse brain
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An atlas of the protein-coding genes in the human, pig, and mouse brain

Sjöstedt, Evelina ; Zhong, Wen ; Fagerberg, Linn ; Karlsson, Max ; Mitsios, Nicholas ; Adori, Csaba ; Oksvold, Per ; Edfors, Fredrik ; Limiszewska, Agnieszka ; Hikmet, Feria ; Huang, Jinrong ; Du, Yutao ; Lin, Lin ; Dong, Zhanying ; Yang, Ling ; Liu, Xin ; Jiang, Hui ; Xu, Xun ; Wang, Jian ; Yang, Huanming ; Bolund, Lars ; Mardinoglu, Adil ; Zhang, Cheng ; von Feilitzen, Kalle ; Lindskog, Cecilia ; Pontén, Fredrik ; Luo, Yonglun ; Hökfelt, Tomas ; Uhlén, Mathias ; Mulder, Jan

Science (American Association for the Advancement of Science), 2020-03, Vol.367 (6482), p.1090 [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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2
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
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The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing

Lein, Ed ; Borm, Lars E. ; Linnarsson, Sten

Science (American Association for the Advancement of Science), 2017-10, Vol.358 (6359), p.64-69 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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3
Living in cities, naturally
Living in cities, naturally
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Living in cities, naturally

Hartig, Terry ; Kahn, Peter H.

Science (American Association for the Advancement of Science), 2016-05, Vol.352 (6288), p.938-940 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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4
De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture
De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture
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De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture

Di Pierro, Michele ; Cheng, Ryan R. ; Aiden, Erez Lieberman ; Wolynes, Peter G. ; Onuchic, José N.

Proceedings of the National Academy of Sciences - PNAS, 2017-11, Vol.114 (46), p.12126-12131 [Periódico revisado por pares]

United States: National Academy of Sciences

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5
Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes
Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes
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Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes

Di Pierro, Michele ; Potoyan, Davit A. ; Wolynes, Peter G. ; Onuchic, José N.

Proceedings of the National Academy of Sciences - PNAS, 2018-07, Vol.115 (30), p.7753-7758 [Periódico revisado por pares]

United States: National Academy of Sciences

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6
Internet of Things is a revolutionary approach for future technology enhancement: a review
Internet of Things is a revolutionary approach for future technology enhancement: a review
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Internet of Things is a revolutionary approach for future technology enhancement: a review

Kumar, Sachin ; Tiwari, Prayag ; Zymbler, Mikhail

Journal of big data, 2019-12, Vol.6 (1), p.1-21, Article 111 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
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Multi-scale detection of hierarchical community architecture in structural and functional brain networks

Ashourvan, Arian ; Telesford, Qawi K ; Verstynen, Timothy ; Vettel, Jean M ; Bassett, Danielle S Radicchi, Filippo

PloS one, 2019-05, Vol.14 (5), p.e0215520-e0215520 [Periódico revisado por pares]

United States: Public Library of Science

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8
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Alzubaidi, Laith ; Zhang, Jinglan ; Humaidi, Amjad J. ; Al-Dujaili, Ayad ; Duan, Ye ; Al-Shamma, Omran ; Santamaría, J. ; Fadhel, Mohammed A. ; Al-Amidie, Muthana ; Farhan, Laith

Journal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Convolutional networks for fast, energy-efficient neuromorphic computing
Convolutional networks for fast, energy-efficient neuromorphic computing
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Convolutional networks for fast, energy-efficient neuromorphic computing

Esser, Steven K. ; Merolla, Paul A. ; Arthur, John V. ; Cassidy, Andrew S. ; Appuswamy, Rathinakumar ; Andreopoulos, Alexander ; Berg, David J. ; McKinstry, Jeffrey L. ; Melano, Timothy ; Barch, Davis R. ; di Nolfoa, Carmelo ; Datta, Pallab ; Amir, Arnon ; Taba, Brian ; Flickner, Myron D. ; Modha, Dharmendra S.

Proceedings of the National Academy of Sciences - PNAS, 2016-10, Vol.113 (41), p.11441-11446 [Periódico revisado por pares]

United States: National Academy of Sciences

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10
Connectional architecture of a mouse hypothalamic circuit node controlling social behavior
Connectional architecture of a mouse hypothalamic circuit node controlling social behavior
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Connectional architecture of a mouse hypothalamic circuit node controlling social behavior

Lo, Liching ; Yao, Shenqin ; Kim, Dong-Wook ; Cetin, Ali ; Harris, Julie ; Zeng, Hongkui ; Anderson, David J. ; Weissbourd, Brandon

Proceedings of the National Academy of Sciences - PNAS, 2019-04, Vol.116 (15), p.7503-7512 [Periódico revisado por pares]

United States: National Academy of Sciences

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