Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Joachimiak, Marcin P."'
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:
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:
Joachimiak, Marcin P., Caufield, J. Harry, Harris, Nomi L., Kim, Hyeongsik, Mungall, Christopher J.
Molecular biologists frequently interpret gene lists derived from high-throughput experiments and computational analysis. This is typically done as a statistical enrichment analysis that measures the over- or under-representation of biological functi
Externí odkaz:
http://arxiv.org/abs/2305.13338
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.
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:
Taneja, Sanya B., Callahan, Tiffany J., Paine, Mary F., Kane-Gill, Sandra L., Kilicoglu, Halil, Joachimiak, Marcin P., Boyce, Richard D.
Publikováno v:
Journal of Biomedical Informatics 140 (2023) 104341
Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are co-consumed with pharmaceutical drugs. Understanding mechanisms of NPDIs is key to preventing adverse events. We constructed a knowledge graph framewo
Externí odkaz:
http://arxiv.org/abs/2209.11950
Autor:
Ladau, Joshua, Brodie, Eoin L., Falco, Nicola, Bansal, Ishan, Hoffman, Elijah B., Joachimiak, Marcin P., Mora, Ana M., Walker, Angelica M., Wainwright, Haruko M., Wu, Yulun, Pavicic, Mirko, Jacobson, Daniel, Hess, Matthias, Brown, James B., Abuabara, Katrina
Publikováno v:
In Infectious Disease Modelling June 2024 9(2):634-643
Autor:
Cappelletti, Luca, Fontana, Tommaso, Casiraghi, Elena, Ravanmehr, Vida, Callahan, Tiffany J., Cano, Carlos, Joachimiak, Marcin P., Mungall, Christopher J., Robinson, Peter N., Reese, Justin, Valentini, Giorgio
Graph Representation Learning (GRL) methods opened new avenues for addressing complex, real-world problems represented by graphs. However, many graphs used in these applications comprise millions of nodes and billions of edges and are beyond the capa
Externí odkaz:
http://arxiv.org/abs/2110.06196
Autor:
Taneja, Sanya B., Callahan, Tiffany J., Paine, Mary F., Kane-Gill, Sandra L., Kilicoglu, Halil, Joachimiak, Marcin P., Boyce, Richard D.
Publikováno v:
In Journal of Biomedical Informatics April 2023 140