Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Finkle, Justin D."'
1
Akademický článek
Windowed Granger causal inference strategy improves discovery of gene regulatory networks
Autor: Finkle, Justin D., Wu, Jia J., Bagheri, Neda
Publikováno v: Proceedings of the National Academy of Sciences of the United States of America, 2018 Feb . 115(9), 2252-2257.
Externí odkaz: https://www.jstor.org/stable/26507973
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2
Akademický článek
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4
Akademický článek
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Akademický článek
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Akademický článek
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8
Inferring causal molecular networks: empirical assessment through a community-based effort
Autor: Hill, Steven M, Heiser, Laura M, Graim, Kiley, Jiang, Xia, Kacprowski, Tim, Kaderali, Lars, Kang, Mingon, Kannan, Venkateshan, Kellen, Michael, Kikuchi, Kaito, Kim, Dong-Chul, Kitano, Hiroaki, Knapp, Bettina, Bivol, Adrian, Komatsoulis, George, Koeppl, Heinz, Krämer, Andreas, Kursa, Miron Bartosz, Kutmon, Martina, Lee, Wai Shing, Li, Yichao, Liang, Xiaoyu, Liu, Zhaoqi, Liu, Yu, Wang, Haizhou, Long, Byron L, Lu, Songjian, Lu, Xinghua, Manfrini, Marco, Matos, Marta R A, Meerzaman, Daoud, Mills, Gordon B, Min, Wenwen, Mukherjee, Sach, Müller, Christian Lorenz, Zhu, Fan, Neapolitan, Richard E, Nesser, Nicole K, Noren, David P, Norman, Thea, Oliva, Baldo, Opiyo, Stephen Obol, Pal, Ranadip, Palinkas, Aljoscha, Paull, Evan O, Planas-Iglesias, Joan, Afsari, Bahman, Poglayen, Daniel, Qutub, Amina A, Saez-Rodriguez, Julio, Sambo, Francesco, Sanavia, Tiziana, Sharifi-Zarchi, Ali, Slawek, Janusz, Sokolov, Artem, Song, Mingzhou, Spellman, Paul T, Danilova, Ludmila V, Streck, Adam, Stolovitzky, Gustavo, Strunz, Sonja, Stuart, Joshua M, Taylor, Dane, Tegnér, Jesper, Thobe, Kirste, Toffolo, Gianna Maria, Trifoglio, Emanuele, Unger, Michael, Favorov, Alexander V, Wan, Qian, Welch, Lonnie, Wong, Chris K, Wu, Jia J, Xue, Albert Y, Yamanaka, Ryota, Yan, Chunhua, Zairis, Sakellarios, Zengerling, Michael, Zenil, Hector, Zhang, Shihua, Zhang, Yang, Zi, Zhike, Hu, Chenyue W, Cokelaer, Thomas, Bisberg, Alexander J, Consortium, HPN-DREAM, Gray, Joe W, Friend, Stephen, Fertig, Elana J, Guan, Yuanfang, Al-Ouran, Rami, Anton, Bernat, Arodz, Tomasz, Sichani, Omid Askari, Bagheri, Neda, Berlow, Noah, Bohler, Anwesha, Bonet, Jaume, Carlin, Daniel E, Bonneau, Richard, Budak, Gungor, Bunescu, Razvan, Caglar, Mehmet, Cai, Binghuang, Cai, Chunhui, Carlon, Azzurra, Chen, Lujia, Ciaccio, Mark F, Cooper, Gregory, Coort, Susan, Creighton, Chad J, Daneshmand, Seyed-Mohammad-Hadi, de la Fuente, Alberto, Di Camillo, Barbara, Dutta-Moscato, Joyeeta, Emmett, Kevin, Evelo, Chris, Fassia, Mohammad-Kasim H, Finkle, Justin D, Finotello, Francesca, Gao, Xi, Gao, Jean, Garcia-Garcia, Javier, Ghosh, Samik, Giaretta, Alberto, Großeholz, Ruth, Guinney, Justin, Hafemeister, Christoph, Hahn, Oliver, Haider, Saad, Hase, Takeshi, Hodgson, Jay, Hoff, Bruce, Hsu, Chih Hao, Hu, Ying, Huang, Xun, Jalili, Mahdi
Publikováno v: Nature methods 13(4), 310-318 (2016). doi:10.1038/nmeth.3773
Recercat. Dipósit de la Recerca de Catalunya
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Nature methods, 13(4): 310-318
Nature methods
Nature Methods, 13(4), 310-318. Nature Publishing Group
It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal infl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a25514e80f8faf329feff49e3987fc7
http://hdl.handle.net/11577/3190821
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9
Inferring causal molecular networks: empirical assessment through a community-based effort
Autor: Carlin, Daniel E., Hill, Steven M., Meerzaman, Daoud, Kannan, Venkateshan, Afsari, Bahman, Hase, Takeshi, Budak, Gungor, Lee, Wai Shing, Caglar, Mehmet, Stuart, Joshua M., Coort, Susan, Haider, Saad, Friend, Stephen, Carlon, Azzurra, Zairis, Sakellarios, Cai, Binghuang, Sichani, Omid Askari, Komatsoulis, George, Sambo, Francesco, Kursa, Miron Bartosz, Kikuchi, Kaito, Nesser, Nicole K., Anton, Bernat, Wang, Haizhou, Huang, Xun, Bonneau, Richard, Knapp, Bettina, Berlow, Noah, Wan, Qian, Graim, Kiley, Paull, Evan O., Guan, Yuanfang, Gao, Xi, Lu, Songjian, Trifoglio, Emanuele, Neapolitan, Richard E., Hafemeister, Christoph, Finotello, Francesca, Linger, Michael, Bonet, Jaume, Saez-Rodriguez, Julio, Zhang, Yang, Zi, Zhike, Min, Wenwen, Al-Ouran, Rami, Giaretta, Alberto, Strunz, Sonja, Bagheri, Neda, Di Camillo, Barbara, Bohler, Anwesha, Hu, Ying, Creighton, Chad J., Poglayen, Daniel, Song, Mingzhou, Ghosh, Samik, Kaderali, Lars, Arodz, Tomasz, Evelo, Chris, Bivol, Adrian, Kitano, Hiroaki, Zengerling, Michael, Qutub, Amina A., Pal, Ranadip, Sanavia, Tiziana, Xue, Albert Y., Liu, Yu, Cokelaer, Thomas, Gray, Joe W., Mills, Gordon B., Fertig, Elana J., Palinkas, Aljoscha, Tegnér, Jesper, Li, Yichao, Chen, Lujia, Mukherjee, Sach, Emmett, Kevin, Hodgson, Jay, Jiang, Xia, Oliva, Baldo, Yamanaka, Ryota, Yan, Chunhua, Spellman, Paul T., Welch, Lonnie, Großeholz, Ruth, Kellen, Michael, Sharifi-Zarchi, Ali, Ciaccio, Mark F., Guinney, Justin, Thobe, Kirste, Norman, Thea, Zenil, Hector, Hu, Chenyue W., Krämer, Andreas, Cooper, Gregory, Taylor, Dane, Bisberg, Alexander J., Long, Byron L., Streck, Adam, Kacprowski, Tim, Manfrini, Marco, Sokolov, Artem, Jalili, Mahdi, Bunescu, Razvan, Liang, Xiaoyu, Kang, Mingon, Müller, Christian Lorenz, Heiser, Laura M., Zhu, Fan, Hoff, Bruce, Kutmon, Martina, Noren, David P., Dutta-Moscato, Joyeeta, Wong, Chris K., Lu, Xinghua, Favorov, Alexander V., Hahn, Oliver, Finkle, Justin D., Planas-Iglesias, Joan, Liu, Zhaoqi, Fassia, Mohammad-Kasim H., Stolovitzky, Gustavo, Daneshmand, Seyed-Mohammad-Hadi, Unger, Michael, Cai, Chunhui, Koeppl, Heinz, Matos, Marta R. A., Kim, Dong-Chul, Gao, Jean, Hsu, Chih Hao, Danilova, Ludmila V., Toffolo, Gianna Maria, Wu, Jia J., De La Fuente, Alberto, Slawek, Janusz, Opiyo, Stephen Obol
Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::13ed731f8359743016b576861216a911
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