Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hassaan Maan"'
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-31 (2024)
Abstract Existing RNA velocity estimation methods strongly rely on predefined dynamics and cell-agnostic constant transcriptional kinetic rates, assumptions often violated in complex and heterogeneous single-cell RNA sequencing (scRNA-seq) data. Usin
Externí odkaz:
https://doaj.org/article/6cf53315e61f4c3ea3e7ec45154ee2dc
Autor:
Michael G. Sugiyama, Haotian Cui, Dar’ya S. Redka, Mehran Karimzadeh, Edurne Rujas, Hassaan Maan, Sikander Hayat, Kyle Cheung, Rahul Misra, Joseph B. McPhee, Russell D. Viirre, Andrew Haller, Roberto J. Botelho, Raffi Karshafian, Sarah A. Sabatinos, Gregory D. Fairn, Seyed Ali Madani Tonekaboni, Andreas Windemuth, Jean-Philippe Julien, Vijay Shahani, Stephen S. MacKinnon, Bo Wang, Costin N. Antonescu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronavi
Externí odkaz:
https://doaj.org/article/6fc7b459daf94a499be2325b0bbff79f
Publikováno v:
European Journal of Radiology Open, Vol 6, Iss , Pp 122-127 (2019)
Objective: To determine the interobserver variability of the 2015 American Thyroid Association (ATA) thyroid guidelines and to evaluate the diagnostic accuracy of the guidelines in detecting thyroid cancer. Materials and methods: Sonographic patterns
Externí odkaz:
https://doaj.org/article/0c598e37c30a4048b962d015e5d96c7a
Autor:
Arinjay Banerjee, Nader El-Sayes, Patrick Budylowski, Rajesh Abraham Jacob, Daniel Richard, Hassaan Maan, Jennifer A. Aguiar, Wael L. Demian, Kaushal Baid, Michael R. D'Agostino, Jann Catherine Ang, Tetyana Murdza, Benjamin J.-M. Tremblay, Sam Afkhami, Mehran Karimzadeh, Aaron T. Irving, Lily Yip, Mario Ostrowski, Jeremy A. Hirota, Robert Kozak, Terence D. Capellini, Matthew S. Miller, Bo Wang, Samira Mubareka, Allison J. McGeer, Andrew G. McArthur, Andrew C. Doxey, Karen Mossman
Publikováno v:
iScience, Vol 24, Iss 5, Pp 102477- (2021)
Summary: Type I interferons (IFNs) are our first line of defense against virus infection. Recent studies have suggested the ability of SARS-CoV-2 proteins to inhibit IFN responses. Emerging data also suggest that timing and extent of IFN production i
Externí odkaz:
https://doaj.org/article/7903286efe6640018b5c5ad804e712c6
Autor:
Jalees A. Nasir, Robert A. Kozak, Patryk Aftanas, Amogelang R. Raphenya, Kendrick M. Smith, Finlay Maguire, Hassaan Maan, Muhannad Alruwaili, Arinjay Banerjee, Hamza Mbareche, Brian P. Alcock, Natalie C. Knox, Karen Mossman, Bo Wang, Julian A. Hiscox, Andrew G. McArthur, Samira Mubareka
Publikováno v:
Viruses, Vol 12, Iss 8, p 895 (2020)
Genome sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is increasingly important to monitor the transmission and adaptive evolution of the virus. The accessibility of high-throughput methods and polymerase chain reaction (P
Externí odkaz:
https://doaj.org/article/4e1d39ed65bb4281b378c74b9609f3dc
Autor:
Costin N. Antonescu, Bo Wang, Stephen S. MacKinnon, Vijay Shahani, Jean-Philippe Julien, Andreas Windemuth, Seyed Ali Madani Tonekaboni, Gregory D. Fairn, Sarah A. Sabatinos, Raffi Karshafian, Roberto Botelho, Andrew Haller, Russell D. Viirre, Joseph B. McPhee, Rahul Misra, Kyle Cheung, Sikander Hayat, Hassaan Maan, Edurne Rujas, Mehran Karimzadeh, Dar’ya S. Redka, Haotian Cui, Michael G. Sugiyama
The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronaviruses cau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a129474d5f09baee846b06163aa1f9
https://doi.org/10.32920/21982913.v1
https://doi.org/10.32920/21982913.v1
Generative pre-trained models have achieved remarkable success in various domains such as natural language processing and computer vision. Specifically, the combination of large-scale diverse datasets and pre-trained transformers has emerged as a pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e94e58419a8c408e08efa79a3cdcf2
https://doi.org/10.1101/2023.04.30.538439
https://doi.org/10.1101/2023.04.30.538439
Single-cell sequencing has emerged as a promising technique to decode cellular heterogeneity and analyze gene functions. With the high throughput of modern techniques and resulting large-scale sequencing data, deep learning has been used extensively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3d388d445616158b8ca687a5950a06
https://doi.org/10.1101/2022.11.20.517285
https://doi.org/10.1101/2022.11.20.517285
Single-cell transcriptomic data measured across distinct samples has led to a surge in computational methods for data integration. Few studies have explicitly examined the common case of cell-type imbalance between datasets to be integrated, and none
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0112554703e2262eef487a8d5c3daa22
https://doi.org/10.1101/2022.10.06.511156
https://doi.org/10.1101/2022.10.06.511156
1AbstractThe introduction of RNA velocity in single-cell studies has opened new ways of examining cell differentiation and tissue development. Existing RNA velocity estimation methods rely on strong assumptions of predefined dynamics and cell-agnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9036826a2c76d7e6728697fba999a41
https://doi.org/10.1101/2022.04.03.486877
https://doi.org/10.1101/2022.04.03.486877