Zobrazeno 1 - 10
of 483
pro vyhledávání: '"Greene, Casey S."'
Autor:
Rando, Halie M., Lordan, Ronan, Kolla, Likhitha, Sell, Elizabeth, Lee, Alexandra J., Wellhausen, Nils, Naik, Amruta, Kamil, Jeremy P., Consortium, COVID-19 Review, Gitter, Anthony, Greene, Casey S.
In the 21st century, several emergent viruses have posed a global threat. Each pathogen has emphasized the value of rapid and scalable vaccine development programs. The ongoing SARS-CoV-2 pandemic has made the importance of such efforts especially cl
Externí odkaz:
http://arxiv.org/abs/2210.07247
Autor:
Rando, Halie M., Lordan, Ronan, Lee, Alexandra J., Naik, Amruta, Wellhausen, Nils, Sell, Elizabeth, Kolla, Likhitha, Consortium, COVID-19 Review, Gitter, Anthony, Greene, Casey S.
Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received attention due to their novelty and successes. However, more traditional
Externí odkaz:
http://arxiv.org/abs/2208.08907
Autor:
Rando, Halie M., Brueffer, Christian, Lordan, Ronan, Dattoli, Anna Ada, Manheim, David, Meyer, Jesse G., Mundo, Ariel I., Perrin, Dimitri, Mai, David, Wellhausen, Nils, Consortium, COVID-19 Review, Gitter, Anthony, Greene, Casey S.
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been critical. Diagnostic tests play a vital role in managing a viral threat
Externí odkaz:
http://arxiv.org/abs/2204.12598
Autor:
Lee, Alexandra J., Reiter, Taylor, Doing, Georgia, Oh, Julia, Hogan, Deborah A., Greene, Casey S.
A gene expression compendium is a heterogeneous collection of gene expression experiments assembled from data collected for diverse purposes. The widely varied experimental conditions and genetic backgrounds across samples creates a tremendous opport
Externí odkaz:
http://arxiv.org/abs/2203.13946
Autor:
Sanders, Lauren M., Yang, Jason H., Scott, Ryan T., Qutub, Amina Ann, Martin, Hector Garcia, Berrios, Daniel C., Hastings, Jaden J. A., Rask, Jon, Mackintosh, Graham, Hoarfrost, Adrienne L., Chalk, Stuart, Kalantari, John, Khezeli, Kia, Antonsen, Erik L., Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Delgado-Aparicio, Guillermo M., Glicksberg, Benjamin S., Greene, Casey S., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Mason, Christopher E., Matar, Mona, Mias, George I., Miller, Jack, Myers Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Park, Seung-min, Parsons-Wingerter, Patricia, Prabhu, R. K., Reynolds, Robert J., Saravia-Butler, Amanda, Saria, Suchi, Sawyer, Aenor, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Theriot, Corey A., Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Zitnik, Marinka, Costes, Sylvain V.
Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crop
Externí odkaz:
http://arxiv.org/abs/2112.12582
Autor:
Scott, Ryan T., Antonsen, Erik L., Sanders, Lauren M., Hastings, Jaden J. A., Park, Seung-min, Mackintosh, Graham, Reynolds, Robert J., Hoarfrost, Adrienne L., Sawyer, Aenor, Greene, Casey S., Glicksberg, Benjamin S., Theriot, Corey A., Berrios, Daniel C., Miller, Jack, Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Chalk, Stuart, Delgado-Aparicio, Guillermo M., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Kalantari, John, Khezeli, Kia, Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Martin, Hector Garcia, Mason, Christopher E., Matar, Mona, Mias, George I., Myers, Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Parsons-Wingerter, Patricia, Prabhu, R. K., Qutub, Amina Ann, Rask, Jon, Saravia-Butler, Amanda, Saria, Suchi, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Yang, Jason H., Zitnik, Marinka, Costes, Sylvain V.
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independenc
Externí odkaz:
http://arxiv.org/abs/2112.12554
Autor:
Rando, Halie M., Boca, Simina M., McGowan, Lucy D'Agostino, Himmelstein, Daniel S., Robson, Michael P., Rubinetti, Vincent, Velazquez, Ryan, Consortium, COVID-19 Review, Greene, Casey S., Gitter, Anthony
Publikováno v:
Proceedings of the Workshop on Digital Infrastructures for Scholarly Content Objects (2021) 29-38
The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis co
Externí odkaz:
http://arxiv.org/abs/2109.08633
Publikováno v:
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21)
We present a new combinatorial model for identifying regulatory modules in gene co-expression data using a decomposition into weighted cliques. To capture complex interaction effects, we generalize the previously-studied weighted edge clique partitio
Externí odkaz:
http://arxiv.org/abs/2106.00657
Autor:
Lee, Benjamin D., Gitter, Anthony, Greene, Casey S., Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J., Kessler, Michael D., Lee, Alexandra J., Chevrette, Marc G., Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M., Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J., Kalinin, Alexandr A., Signal, Beth, Lengerich, Benjamin J., Triche Jr, Timothy J., Boca, Simina M.
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling. A
Externí odkaz:
http://arxiv.org/abs/2105.14372
Autor:
Carpenter, Anne E, Greene, Casey S, Carnici, Piero, Carvalho, Benilton S, de Hoon, Michiel, Finley, Stacey, Cao, Kim-Anh Le, Lee, Jerry SH, Marchionni, Luigi, Sindi, Suzanne, Theis, Fabian J, Way, Gregory P, Yang, Jean YH, Fertig, Elana J
Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together with new technologies to create and analyze it, has ushered in an era
Externí odkaz:
http://arxiv.org/abs/2104.11364