Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Melamud, Eugene"'
Autor:
Schoenholz, Samuel S., Hackett, Sean, Deming, Laura, Melamud, Eugene, Jaitly, Navdeep, McAllister, Fiona, O'Brien, Jonathon, Dahl, George, Bennett, Bryson, Dai, Andrew M., Koller, Daphne
As in many other scientific domains, we face a fundamental problem when using machine learning to identify proteins from mass spectrometry data: large ground truth datasets mapping inputs to correct outputs are extremely difficult to obtain. Instead,
Externí odkaz:
http://arxiv.org/abs/1808.06576
Autor:
Sethi, Anurag, Melamud, Eugene
Publikováno v:
In Cell Reports Methods 19 December 2022 2(12)
Autor:
Murad, Neha1 (AUTHOR), Melamud, Eugene1 (AUTHOR) eugene@calicolabs.com
Publikováno v:
Scientific Reports. 12/19/2022, Vol. 12 Issue 1, p1-13. 13p.
Autor:
Melamud, Eugene
Publikováno v:
Bios, 2006 May 01. 77(2), 37-41.
Externí odkaz:
https://www.jstor.org/stable/4608769
Autor:
Methé, Barbara A., Nelson, Karen E., Deming, Jody W., Momen, Bahram, Melamud, Eugene, Zhang, Xijun, Moult, John, Madupu, Ramana, Nelson, William C., Dodson, Robert J., Brinkac, Lauren M., Daugherty, Sean C., Durkin, Anthony S., DeBoy, Robert T., Kolonay, James F., Sullivan, Steven A., Zhou, Liwei, Davidsen, Tanja M., Wu, Martin, Huston, Adrienne L., Lewis, Matthew, Weaver, Bruce, Weidman, Janice F., Khouri, Hoda, Utterback, Terry R., Feldblyum, Tamara V., Fraser, Claire M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2005 Aug 01. 102(31), 10913-10918.
Externí odkaz:
https://www.jstor.org/stable/3376191
Autor:
Sun, Benjamin B., Chiou, Joshua, Traylor, Matthew, Benner, Christian, Hsu, Yi-Hsiang, Richardson, Tom G., Surendran, Praveen, Mahajan, Anubha, Robins, Chloe, Vasquez-Grinnell, Steven G., Hou, Liping, Kvikstad, Erika M., Burren, Oliver S., Davitte, Jonathan, Ferber, Kyle L., Gillies, Christopher E., Hedman, Åsa K., Hu, Sile, Lin, Tinchi, Mikkilineni, Rajesh, Pendergrass, Rion K., Pickering, Corran, Prins, Bram, Baird, Denis, Chen, Chia-Yen, Ward, Lucas D., Deaton, Aimee M., Welsh, Samantha, Willis, Carissa M., Lehner, Nick, Arnold, Matthias, Wörheide, Maria A., Suhre, Karsten, Kastenmüller, Gabi, Sethi, Anurag, Cule, Madeleine, Raj, Anil, Burkitt-Gray, Lucy, Melamud, Eugene, Black, Mary Helen, Fauman, Eric B., Howson, Joanna M. M., Kang, Hyun Min, McCarthy, Mark I., Nioi, Paul, Petrovski, Slavé, Scott, Robert A., Smith, Erin N., Szalma, Sándor, Waterworth, Dawn M., Mitnaul, Lyndon J., Szustakowski, Joseph D., Gibson, Bradford W., Miller, Melissa R., Whelan, Christopher D.
Publikováno v:
Nature; October 2023, Vol. 622 Issue: 7982 p329-338, 10p
Publikováno v:
Nature Communications; 5/8/2023, Vol. 14 Issue 1, p1-14, 14p
Publikováno v:
Metabolites (2218-1989); Aug2022, Vol. 12 Issue 8, p684-684, 13p
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 76 (2012)
Abstract Background Contact network models have become increasingly common in epidemiology, but we lack a flexible programming framework for the generation and analysis of epidemiological contact networks and for the simulation of disease transmissio
Externí odkaz:
https://doaj.org/article/b649337be2ea42f4b8605a430521b3ed
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 166 (2006)
Abstract Background The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and database that provides and integrates as much information as possible
Externí odkaz:
https://doaj.org/article/f487e184946647b59dc069247cb09b98