Zobrazeno 1 - 10
of 367
pro vyhledávání: '"J. ARMAND"'
Autor:
Chongyuan Luo, Hanqing Liu, Fangming Xie, Ethan J. Armand, Kimberly Siletti, Trygve E. Bakken, Rongxin Fang, Wayne I. Doyle, Tim Stuart, Rebecca D. Hodge, Lijuan Hu, Bang-An Wang, Zhuzhu Zhang, Sebastian Preissl, Dong-Sung Lee, Jingtian Zhou, Sheng-Yong Niu, Rosa Castanon, Anna Bartlett, Angeline Rivkin, Xinxin Wang, Jacinta Lucero, Joseph R. Nery, David A. Davis, Deborah C. Mash, Rahul Satija, Jesse R. Dixon, Sten Linnarsson, Ed Lein, M. Margarita Behrens, Bing Ren, Eran A. Mukamel, Joseph R. Ecker
Publikováno v:
Cell genomics, vol 2, iss 3
Single-cell technologies measure unique cellular signatures but are typically limited to a single modality. Computational approaches allow the fusion of diverse single-cell data types, but their efficacy is difficult to validate in the absence of aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8376ab73ba7a5c0256dd5e758198a060
https://escholarship.org/uc/item/56j017g9
https://escholarship.org/uc/item/56j017g9
Akademický článek
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Autor:
Angeline Rivkin, Chongyuan Luo, Ethan J. Armand, Ecker, Yueling Li, Zizhen Yao, Anna Bartlett, Jacinta Lucero, Bing Ren, Antonio Pinto-Duarte, Eran A. Mukamel, Sebastian Preissl, Nery, Bosiljka Tasic, Hongkui Zeng, Fangming Xie, M. Margarita Behrens, Hanqing Liu, Olivier Poirion
Integrating single-cell transcriptomes and epigenomes across diverse cell types can link genes with the cis-regulatory elements (CREs) that control expression. Gene co-expression across cell types confounds simple correlation-based analysis and resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d988a9cc3614572ef69ba4d5c9b1be2
https://doi.org/10.1101/2021.10.25.465795
https://doi.org/10.1101/2021.10.25.465795
Autor:
Lanier, J. Armand
Publikováno v:
The Southwestern Historical Quarterly, 2002 Jul 01. 106(1), 76-105.
Externí odkaz:
https://www.jstor.org/stable/30242138
Autor:
Burgun, J. Armand
Publikováno v:
Journal of Public Health Policy, 1983 Mar 01. 4(1), 64-68.
Externí odkaz:
https://www.jstor.org/stable/3342186
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 143
An investigation of the interaction between Coriolis forces and mistuning on a cyclic symmetric structure is presented in this paper. The sensitivity of the eigenvalues and eigenvectors to mistuning is first studied with the perturbation method. A lu
Publikováno v:
Neuron
Neuron, vol 109, iss 1
Neuron, vol 109, iss 1
Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are transforming our understanding of the cellular building blocks of neural circuits. By directly measuring multiple molecular signatures in thousands to millions o
Autor:
Luca Pesaresi, J. Armand, Christoph W. Schwingshackl, Loic Salles, Robert M. Lacayo, Daniel Fochler, Matthew S. Allen, Johann Groß, Matthew R. W. Brake
Publikováno v:
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing, Elsevier, 2019, 114, pp.413-438. 〈10.1016/j.ymssp.2018.05.033〉
Mechanical Systems and Signal Processing, Elsevier, 2019, 114, pp.413-438. 〈10.1016/j.ymssp.2018.05.033〉
International audience; Motivated by the current demands in high-performance structural analysis, and by a need to better model systems with localized nonlinearities, analysts have developed a number of different approaches for modeling and simulatin
Publikováno v:
European Journal of Mechanics - A/Solids. 70:44-57
Accurate prediction of the vibration response of friction joints is of great importance when estimating both the performance and the life of build-up structures. The contact conditions at the joint interface, including local normal load distribution
Autor:
Bing Ren, Rosa Castanon, Sheng-Yong Niu, Sten Linnarsson, Jacinta Lucero, David A. Davis, Ed S. Lein, Deborah C. Mash, Sebastian Preissl, Trygve E. Bakken, M. Margarita Behrens, Joseph R. Ecker, Dong-Sung Lee, Fangming Xie, Rebecca D. Hodge, Chongyuan Luo, Anna Bartlett, Jingtian Zhou, Eran A. Mukamel, Angeline Rivkin, Joseph R. Nery, Xinxin Wang, Rongxin Fang, Kimberly Siletti, Hanqing Liu, Bang-An Wang, Wayne I. Doyle, Jesse R. Dixon, Ethan J. Armand, Lijuan Hu, Zhuzhu Zhang
Single-cell technologies enable measure of unique cellular signatures, but are typically limited to a single modality. Computational approaches allow integration of diverse single-cell datasets, but their efficacy is difficult to validate in the abse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5658fa6475200224b03b49f0e009ea5