Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Julian, Venegas"'
Autor:
Jiayuan Ding, Renming Liu, Hongzhi Wen, Wenzhuo Tang, Zhaoheng Li, Julian Venegas, Runze Su, Dylan Molho, Wei Jin, Yixin Wang, Qiaolin Lu, Lingxiao Li, Wangyang Zuo, Yi Chang, Yuying Xie, Jiliang Tang
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract DANCE is the first standard, generic, and extensible benchmark platform for accessing and evaluating computational methods across the spectrum of benchmark datasets for numerous single-cell analysis tasks. Currently, DANCE supports 3 modules
Externí odkaz:
https://doaj.org/article/82df36dc168a46dcab46d25ab356cce5
Autor:
Larissa Steigmann, Shogo Maekawa, Frederic Kauffmann, Jacob Reiss, Ashley Cornett, James Sugai, Julian Venegas, Xudong Fan, Yuying Xie, William V. Giannobile, Rodica Pop-Busui, Isabelle M. A. Lombaert
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract The objective of this pilot clinical study was to identify salivary biomarkers that are associated with periodontal disease and measures of diabetic autonomic dysfunction. Saliva samples from 32 participants were obtained from 3 groups: heal
Externí odkaz:
https://doaj.org/article/3b85fc538f564847be7f49b0c84a11d5
Autor:
Jiliang Tang, Jiayuan Ding, Julian Venegas, Qiaolin Lu, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Lei, Patrick Danaher, Yuying Xie
Recent technological advancements have enabled spatially resolved transcriptomic profiling but at multi-cellular resolution. The task of cell type deconvolution has been introduced to disentangle discrete cell types from such multi-cellular spots. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66f199af1172bf61b8cd2808c6a3472a
https://doi.org/10.1101/2023.04.11.536333
https://doi.org/10.1101/2023.04.11.536333
Autor:
Jiayuan Ding, Hongzhi Wen, Wenzhuo Tang, Renming Liu, Zhaoheng Li, Julian Venegas, Runze Su, Dylan Molho, Wei Jin, Wangyang Zuo, Yixin Wang, Robert Yang, Yuying Xie, Jiliang Tang
In the realm of single-cell analysis, computational approaches have brought an increasing number of fantastic prospects for innovation and invention. Meanwhile, it also presents enormous hurdles to reproducing the results of these models due to their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d30c9adf43aef96b3188b45577bc103
https://doi.org/10.1101/2022.10.19.512741
https://doi.org/10.1101/2022.10.19.512741
Autor:
Keivan Bahmani, Emily E. Jennings, Yunfei Long, Prabhjot Kaur, McKena L. Wilson, Philip Engelgau, Donghee Hoh, Jason P. Londo, Abigail E. Bryson, Thilanka Ranaweera, Margaret H. Frank, Robert Z. Shrote, Zoë Migicovsky, Eleanore J. Ritter, Bethany Gettings, Julian Venegas, Joey Mullins, Jyothi Kumar, Anna C. Haber, Hao Wang, Zhongjie Ji, Wei Dong, Serena G. Lotreck, Luke M. Gregory, Sunil Kumar Kenchanmane Raju, Fabio Gomez-Cano, Christina Chiu, Nolan Bornowski, Scott J. Teresi, Rie Sadohara, Alyssa R. Tarrant, Daniel H. Chitwood, Robert VanBuren, Maya Wilson Brown, Davis T. Mathieu, Kaila E. Smith
Publikováno v:
Applications in Plant Sciences. 8
Premise Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the leaf morphology of more than 200 grapevines (Vitis spp.) over four years and modeled changes in leaf shape along t
Autor:
Bethany Gettings, Jason P. Londo, Scott J. Teresi, Nolan Bornowski, Jyothi Kumar, Julian Venegas, Robert VanBuren, Anna C. Haber, Margaret H. Frank, Robert Z. Shrote, Hao Wang, Eleanore J. Ritter, Emily E. Jennings, Yunfei Long, Keivan Bahmani, Rie Sadohara, Wei Dong, Zoë Migicovsky, Philip Engelgau, Luke M. Gregory, Serena G. Lotreck, Fabio Gomez-Cano, Sunil Kumar Kenchanmane Raju, Christina Chiu, Davis T. Mathieu, Abigail E. Bryson, Zhongjie Ji, Joey Mullins, McKena L. Wilson, Maya Wilson Brown, Thilanka Ranaweera, Prabhjot Kaur, Kaila E. Smith, Alyssa R. Tarrant, Daniel H. Chitwood, Donghee Hoh
Premise of studyLeaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. We measured leaf morphology from over 200 vines over four years, and modeled changes in leaf shape along the shoot to determine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e50b6278c3f57675f73fc6ebfb2b02
https://doi.org/10.1101/2020.06.22.163899
https://doi.org/10.1101/2020.06.22.163899
Autor:
Abigail E, Bryson, Maya, Wilson Brown, Joey, Mullins, Wei, Dong, Keivan, Bahmani, Nolan, Bornowski, Christina, Chiu, Philip, Engelgau, Bethany, Gettings, Fabio, Gomezcano, Luke M, Gregory, Anna C, Haber, Donghee, Hoh, Emily E, Jennings, Zhongjie, Ji, Prabhjot, Kaur, Sunil K, Kenchanmane Raju, Yunfei, Long, Serena G, Lotreck, Davis T, Mathieu, Thilanka, Ranaweera, Eleanore J, Ritter, Rie, Sadohara, Robert Z, Shrote, Kaila E, Smith, Scott J, Teresi, Julian, Venegas, Hao, Wang, McKena L, Wilson, Alyssa R, Tarrant, Margaret H, Frank, Zoë, Migicovsky, Jyothi, Kumar, Robert, VanBuren, Jason P, Londo, Daniel H, Chitwood
Publikováno v:
Applications in Plant Sciences
Premise Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the leaf morphology of more than 200 grapevines (Vitis spp.) over four years and modeled changes in leaf shape along t
Autor:
Julian Venegas, Venkatesh Agaram
Publikováno v:
SAE Technical Paper Series.
Autor:
Julian Venegas, Venkatesh Agaram
Publikováno v:
2015 Annual Reliability and Maintainability Symposium (RAMS).
System dynamics modeling of complex processes as a set of coupled nonlinear differential equations is realistic. Process DOEs based on system dynamics simulations are an inexpensive and effective way of gaining insights into sensitivity to interactio