Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Robinson, Mark D"'
Autor:
Mallona, Izaskun, Luetge, Almut, Carrillo, Ben, Incicau, Daniel, Gerber, Reto, Sonrel, Anthony, Soneson, Charlotte, Robinson, Mark D.
Benchmarking in bioinformatics is a process of designing, running and disseminating rigorous performance evaluations of methods (software). Benchmarking systems facilitate the benchmarking process by providing an entrypoint to store, coordinate and e
Externí odkaz:
http://arxiv.org/abs/2409.17038
Autor:
Mallona, Izaskun, Luetge, Almut, Soneson, Charlotte, Carrillo, Ben, Gerber, Reto, Incicau, Daniel, Sonrel, Anthony, Robinson, Mark D.
Benchmarking, which involves collecting reference datasets and demonstrating method performances, is a requirement for the development of new computational tools, but also becomes a domain of its own to achieve neutral comparisons of methods. Althoug
Externí odkaz:
http://arxiv.org/abs/2409.15472
Autor:
Robinson, Mark D., Cai, Peiying, Emons, Martin, Gerber, Reto, Germain, Pierre-Luc, Gunz, Samuel, Luo, Siyuan, Moro, Giulia, Sonder, Emanuel, Sonrel, Anthony, Wang, Jiayi, Wissel, David, Mallona, Izaskun
Computational biologists are frequently engaged in collaborative data analysis with wet lab researchers. These interdisciplinary projects, as necessary as they are to the scientific endeavour, can be surprisingly challenging due to cultural differenc
Externí odkaz:
http://arxiv.org/abs/2402.18348
Autor:
Huang, Yu-Ning, Love, Michael I., Ronkowski, Cynthia Flaire, Deshpande, Dhrithi, Schriml, Lynn M., Wong-Beringer, Annie, Mons, Barend, Corbett-Detig, Russell, Hunter, Christopher I, Moore, Jason H., Garmire, Lana X., Reddy, T. B. K., Hide, Winston A., Butte, Atul J., Robinson, Mark D., Mangul, Serghei
Metadata, often termed "data about data," is crucial for organizing, understanding, and managing vast omics datasets. It aids in efficient data discovery, integration, and interpretation, enabling users to access, comprehend, and utilize data effecti
Externí odkaz:
http://arxiv.org/abs/2401.02965
Autor:
Robinson, Mark D.1,2 (AUTHOR) mark.robinson@mls.uzh.ch, Cai, Peiying1,2 (AUTHOR), Emons, Martin1,2 (AUTHOR), Gerber, Reto1,2 (AUTHOR), Germain, Pierre-Luc1,2,3 (AUTHOR), Gunz, Samuel1,2 (AUTHOR), Luo, Siyuan1,2 (AUTHOR), Moro, Giulia1 (AUTHOR), Sonder, Emanuel1,2,3 (AUTHOR), Sonrel, Anthony1,2 (AUTHOR), Wang, Jiayi1,2 (AUTHOR), Wissel, David1,2 (AUTHOR), Mallona, Izaskun1,2 (AUTHOR) mark.robinson@mls.uzh.ch
Publikováno v:
PLoS Computational Biology. 6/20/2024, Vol. 20 Issue 6, p1-9. 9p.
Autor:
Edalat, Sam G., Gerber, Reto, Houtman, Miranda, Lückgen, Janine, Teixeira, Rui Lourenço, Palacios Cisneros, Maria del Pilar, Pfanner, Tamara, Kuret, Tadeja, Ižanc, Nadja, Micheroli, Raphael, Polido-Pereira, Joaquim, Saraiva, Fernando, Lingam, Swathi, Burki, Kristina, Burja, Blaž, Pauli, Chantal, Rotar, Žiga, Tomšič, Matija, Čučnik, Saša, Fonseca, João Eurico, Distler, Oliver, Calado, Ângelo, Romão, Vasco C., Ospelt, Caroline, Sodin-Semrl, Snežna, Robinson, Mark D., Frank Bertoncelj, Mojca
Publikováno v:
In iScience 21 June 2024 27(6)
Autor:
Weber, Lukas M., Saelens, Wouter, Cannoodt, Robrecht, Soneson, Charlotte, Hapfelmeier, Alexander, Gardner, Paul P., Boulesteix, Anne-Laure, Saeys, Yvan, Robinson, Mark D.
In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare the performance of different methods using
Externí odkaz:
http://arxiv.org/abs/1812.00661
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