Zobrazeno 1 - 10
of 3 353
pro vyhledávání: '"Händel, P."'
Autor:
Caufield, Harry, Kroll, Carlo, O'Neil, Shawn T, Reese, Justin T, Joachimiak, Marcin P, Hegde, Harshad, Harris, Nomi L, Krishnamurthy, Madan, McLaughlin, James A, Smedley, Damian, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J
Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validating diverse information into a structured form suitable for databases an
Externí odkaz:
http://arxiv.org/abs/2411.00046
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:
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:
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:
Johannes Balkenhol, Barbara Händel, Sounak Biswas, Johannes Grohmann, Jóakim v. Kistowski, Juan Prada, Conrado A. Bosman, Hannelore Ehrenreich, Sonja M. Wojcik, Samuel Kounev, Robert Blum, Thomas Dandekar
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 4288-4305 (2024)
While there is much knowledge about local neuronal circuitry, considerably less is known about how neuronal input is integrated and combined across neuronal networks to encode higher order brain functions. One challenge lies in the large number of co
Externí odkaz:
https://doaj.org/article/4dc9cf9436824f67bbfc93c4d96009a6
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:
Caufield, J. Harry, Hegde, Harshad, Emonet, Vincent, Harris, Nomi L., Joachimiak, Marcin P., Matentzoglu, Nicolas, Kim, HyeongSik, Moxon, Sierra A. T., Reese, Justin T., Haendel, Melissa A., Robinson, Peter N., Mungall, Christopher J.
Publikováno v:
Bioinformatics, 2024 Mar 4;40(3)
Creating knowledge bases and ontologies is a time consuming task that relies on a manual curation. AI/NLP approaches can assist expert curators in populating these knowledge bases, but current approaches rely on extensive training data, and are not a
Externí odkaz:
http://arxiv.org/abs/2304.02711
Autor:
Caufield, J Harry, Putman, Tim, Schaper, Kevin, Unni, Deepak R, Hegde, Harshad, Callahan, Tiffany J, Cappelletti, Luca, Moxon, Sierra AT, Ravanmehr, Vida, Carbon, Seth, Chan, Lauren E, Cortes, Katherina, Shefchek, Kent A, Elsarboukh, Glass, Balhoff, James P, Fontana, Tommaso, Matentzoglu, Nicolas, Bruskiewich, Richard M, Thessen, Anne E, Harris, Nomi L, Munoz-Torres, Monica C, Haendel, Melissa A, Robinson, Peter N, Joachimiak, Marcin P, Mungall, Christopher J, Reese, Justin T
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of knowledge graphs i
Externí odkaz:
http://arxiv.org/abs/2302.10800
Autor:
Sengupta, Saurav, Loomba, Johanna, Sharma, Suchetha, Brown, Donald E., Thorpe, Lorna, Haendel, Melissa A, Chute, Christopher G, Hong, Stephanie
Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive diagnosis for COVID-19. Historical Electronic Health Records (EHR) like diagnosis codes, lab
Externí odkaz:
http://arxiv.org/abs/2210.02490
Autor:
Callahan, Tiffany J., Stefanski, Adrianne L., Wyrwa, Jordan M., Zeng, Chenjie, Ostropolets, Anna, Banda, Juan M., Baumgartner Jr., William A., Boyce, Richard D., Casiraghi, Elena, Coleman, Ben D., Collins, Janine H., Deakyne-Davies, Sara J., Feinstein, James A., Haendel, Melissa A., Lin, Asiyah Y., Martin, Blake, Matentzoglu, Nicolas A., Meeker, Daniella, Reese, Justin, Sinclair, Jessica, Taneja, Sanya B., Trinkley, Katy E., Vasilevsky, Nicole A., Williams, Andrew, Zhang, Xingman A., Denny, Joshua C., Robinson, Peter N., Ryan, Patrick, Hripcsak, George, Bennett, Tellen D., Hunter, Lawrence E., Kahn, Michael G.
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry o
Externí odkaz:
http://arxiv.org/abs/2209.04732