Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dorri, Fatemeh"'
Autor:
Salehi, Sohrab, Dorri, Fatemeh, Chern, Kevin, Kabeer, Farhia, Rusk, Nicole, Funnell, Tyler, Williams, Marc J., Lai, Daniel, Andronescu, Mirela, Campbell, Kieran R., McPherson, Andrew, Aparicio, Samuel, Roth, Andrew, Shah, Sohrab P., Bouchard-Côté, Alexandre
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
A new generation of scalable single cell whole genome sequencing (scWGS) methods allows unprecedented high resolution measurement of the evolutionary dynamics of cancer cell populations. Phylogenetic reconstruction is central to identifying sub-popul
Externí odkaz:
https://doaj.org/article/7d336692a2954e17ba3b00dfa26ea966
Autor:
Dorri, Fatemeh
A main problem in machine learning is to predict the response variables of a test set given the training data and its corresponding response variables. A predictive model can perform satisfactorily only if the training data is an appropriate represen
Externí odkaz:
http://hdl.handle.net/10012/6738
Autor:
Salehi, Sohrab, Dorri, Fatemeh, Chern, Kevin, Kabeer, Farhia, Rusk, Nicole, Funnell, Tyler, Williams, Marc J, Lai, Daniel, Andronescu, Mirela, Campbell, Kieran R., McPherson, Andrew, Aparicio, Samuel, Roth, Andrew, Shah, Sohrab, Bouchard-Côté, Alexandre
Supplementary material for "Cancer phylogenetic tree inference at scale from 1000s of single cell genomes"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441f01653b0913b01a02d02bfb208557
Publikováno v:
In Computers in Biology and Medicine February 2012 42(2):222-227
Autor:
Dorri, Fatemeh
The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b674762a58666326ef4f286ff62e92
Akademický článek
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Autor:
Dorri, Fatemeh, Salehi, Sohrab, Chern, Kevin, Funnell, Tyler, Williams, Marc, Lai, Daniel, Andronescu, Mirela, Campbell, Kieran R, McPherson, Andrew, Aparicio, Samuel, Roth, Andrew, Shah, Sohrab P, Bouchard-Côté, Alexandre
A new generation of scalable single cell whole genome sequencing (scWGS) methods, allows unprecedented high resolution measurement of the evolutionary dynamics of cancer cells populations. Phylogenetic reconstruction is central to identifying sub-pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=sharebioRxiv::4d9c2d33e5685f1c43700494c7e03027
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Salehi, Sohrab, Kabeer, Farhia, Ceglia, Nicholas, Andronescu, Mirela, Williams, Marc J., Campbell, Kieran R., Masud, Tehmina, Wang, Beixi, Biele, Justina, Brimhall, Jazmine, Gee, David, Lee, Hakwoo, Ting, Jerome, Zhang, Allen W., Tran, Hoa, O’Flanagan, Ciara, Dorri, Fatemeh, Rusk, Nicole, de Algara, Teresa Ruiz, Lee, So Ra, Cheng, Brian Yu Chieh, Eirew, Peter, Kono, Takako, Pham, Jenifer, Grewal, Diljot, Lai, Daniel, Moore, Richard, Mungall, Andrew J., Marra, Marco A., Hannon, Gregory J., Battistoni, Giorgia, Bressan, Dario, Cannell, Ian Gordon, Casbolt, Hannah, Fatemi, Atefeh, Jauset, Cristina, Kovačević, Tatjana, Mulvey, Claire M., Nugent, Fiona, Ribes, Marta Paez, Pearsall, Isabella, Qosaj, Fatime, Sawicka, Kirsty, Wild, Sophia A., Williams, Elena, Laks, Emma, Li, Yangguang, O’Flanagan, Ciara H., Smith, Austin, Ruiz, Teresa, Roth, Andrew, Balasubramanian, Shankar, Lee, Maximillian, Bodenmiller, Bernd, Burger, Marcel, Kuett, Laura, Tietscher, Sandra, Windhager, Jonas, Boyden, Edward S., Alon, Shahar, Cui, Yi, Emenari, Amauche, Goodwin, Dan, Karagiannis, Emmanouil D., Sinha, Anubhav, Wassie, Asmamaw T., Caldas, Carlos, Bruna, Alejandra, Callari, Maurizio, Greenwood, Wendy, Lerda, Giulia, Eyal-Lubling, Yaniv, Rueda, Oscar M., Shea, Abigail, Harris, Owen, Becker, Robby, Grimaldi, Flaminia, Harris, Suvi, Vogl, Sara Lisa, Weselak, Joanna, Joyce, Johanna A., Watson, Spencer S., Vázquez-Garćıa, Ignacio, Tavaré, Simon, Dinh, Khanh N., Fisher, Eyal, Kunes, Russell, Walton, Nicholas A., Sa’d, Mohammad Al, Chornay, Nick, Dariush, Ali, González-Solares, Eduardo A., González-Fernández, Carlos, Yoldas, Aybüke Küpcü, Millar, Neil, Whitmarsh, Tristan, Zhuang, Xiaowei, Fan, Jean, Lee, Hsuan, Sepúlveda, Leonardo A., Xia, Chenglong, Zheng, Pu, McPherson, Andrew, Bouchard-Côté, Alexandre, Aparicio, Samuel, Shah, Sohrab P.
Publikováno v:
Nature, 595 (7868)
Nature
Nature
Progress in defining genomic fitness landscapes in cancer, especially those defined by copy number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of polyclonal populations and temporal statistical models1-7. Here we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7969bf64b96712c2f022b7a48930f00