Zobrazeno 1 - 10
of 3 493
pro vyhledávání: '"Mungall, A."'
Autor:
Mullen, Kathleen R., Tammen, Imke, Matentzoglu, Nicolas A., Mather, Marius, Mungall, Christopher J., Haendel, Melissa A., Nicholas, Frank W., Toro, Sabrina, Consortium, the Vertebrate Breed Ontology
Background: Limited universally adopted data standards in veterinary science hinders data interoperability and therefore integration and comparison; this ultimately impedes application of existing information-based tools to support advancement in vet
Externí odkaz:
http://arxiv.org/abs/2406.02623
Autor:
Avaylon, Matthew, Ly, Ryan, Tritt, Andrew, Dichter, Benjamin, Bouchard, Kristofer E., Mungall, Christopher J., Ruebel, Oliver
Across many domains, large swaths of digital assets are being stored across distributed data repositories, e.g., the DANDI Archive [8]. The distribution and diversity of these repositories impede researchers from formally defining terminology within
Externí odkaz:
http://arxiv.org/abs/2406.00063
Autor:
Joachimiak, Marcin P., Miller, Mark A., Caufield, J. Harry, Ly, Ryan, Harris, Nomi L., Tritt, Andrew, Mungall, Christopher J., Bouchard, Kristofer E.
The Artificial Intelligence Ontology (AIO) is a systematization of artificial intelligence (AI) concepts, methodologies, and their interrelations. Developed via manual curation, with the additional assistance of large language models (LLMs), AIO aims
Externí odkaz:
http://arxiv.org/abs/2404.03044
Autor:
Toro, Sabrina, Anagnostopoulos, Anna V, Bello, Sue, Blumberg, Kai, Cameron, Rhiannon, Carmody, Leigh, Diehl, Alexander D, Dooley, Damion, Duncan, William, Fey, Petra, Gaudet, Pascale, Harris, Nomi L, Joachimiak, Marcin, Kiani, Leila, Lubiana, Tiago, Munoz-Torres, Monica C, O'Neil, Shawn, Osumi-Sutherland, David, Puig, Aleix, Reese, Justin P, Reiser, Leonore, Robb, Sofia, Ruemping, Troy, Seager, James, Sid, Eric, Stefancsik, Ray, Weber, Magalie, Wood, Valerie, Haendel, Melissa A, Mungall, Christopher J
Background: Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and main
Externí odkaz:
http://arxiv.org/abs/2312.10904
Autor:
Amusat, Oluwamayowa O., Hegde, Harshad, Mungall, Christopher J., Giannakou, Anna, Byers, Neil P., Gunter, Dan, Fagnan, Kjiersten, Ramakrishnan, Lavanya
Advanced omics technologies and facilities generate a wealth of valuable data daily; however, the data often lacks the essential metadata required for researchers to find and search them effectively. The lack of metadata poses a significant challenge
Externí odkaz:
http://arxiv.org/abs/2311.05042
Autor:
Matentzoglu, Nicolas, Caufield, J. Harry, Hegde, Harshad B., Reese, Justin T., Moxon, Sierra, Kim, Hyeongsik, Harris, Nomi L., Haendel, Melissa A, Mungall, Christopher J.
Aligning terminological resources, including ontologies, controlled vocabularies, taxonomies, and value sets is a critical part of data integration in many domains such as healthcare, chemistry, and biomedical research. Entity mapping is the process
Externí odkaz:
http://arxiv.org/abs/2310.03666
Autor:
Groza, Tudor, Caufield, Harry, Gration, Dylan, Baynam, Gareth, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J, Reese, Justin T
Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field. These processes rely on u
Externí odkaz:
http://arxiv.org/abs/2309.17169
Autor:
Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner Jr, William A., Hunter, Lawrence E.
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle
Externí odkaz:
http://arxiv.org/abs/2307.05727
Autor:
Victoria Shelton, Rajesh Detroja, Ting Liu, Keren Isaev, Anjali Silva, Verena Passerini, Mehran Bakhtiari, Lourdes Calvente, Michael Hong, Michael Y. He, Saloni Modi, Samantha A. Hershenfeld, Maja Ludvigsen, Charlotte Madsen, Stephen Hamilton-Dutoit, Francesco Annibale d’Amore, Marianne Brodtkorb, Nathalie A. Johnson, Tara Baetz, David LeBrun, Josh W. D. Tobin, Maher K. Gandhi, Andrew J. Mungall, Wei Xu, Susana Ben-Neriah, Christian Steidl, Jan Delabie, Rosemarie Tremblay-LeMay, Opeyemi Jegede, Oliver Weigert, Brad Kahl, Andrew M. Evens, Robert Kridel
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Follicular lymphoma (FL) exhibits considerable variability in biological features and clinical trajectories across patients. To dissect the diversity of FL, we utilized a Bernoulli mixture model to identify genetic subtypes in 713 pre-treatm
Externí odkaz:
https://doaj.org/article/34d7cb757e0c4fbe916aa9cea2b4742d
Autor:
Farhia Kabeer, Hoa Tran, Mirela Andronescu, Gurdeep Singh, Hakwoo Lee, Sohrab Salehi, Beixi Wang, Justina Biele, Jazmine Brimhall, David Gee, Viviana Cerda, Ciara O’Flanagan, Teresa Algara, Takako Kono, Sean Beatty, Elena Zaikova, Daniel Lai, Eric Lee, Richard Moore, Andrew J. Mungall, IMAXT Consortium, Marc J. Williams, Andrew Roth, Kieran R. Campbell, Sohrab P. Shah, Samuel Aparicio
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-32 (2024)
Abstract Background The encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and g
Externí odkaz:
https://doaj.org/article/49d08f6904d04bb2b5f01bd4a5faa66b