%0 Journal Article %1 journals/natmi/CulosTSBGMFTNEX20 %A Culos, Anthony %A Tsai, Amy %A Stanley, Natalie %A Becker, Martin %A Ghaemi, Mohammad Sajjad %A Mcilwain, David %A Fallahzadeh, Ramin %A Tanada, Athena %A Nassar, Huda %A Espinosa, Camilo %A Xenochristou, Maria %A Ganio, Edward %A Peterson, Laura %A Han, Xiaoyuan %A Stelzer, Ina A. %A Ando, Kazuo %A Gaudilliere, Dyani %A Phongpreecha, Thanaphong %A Maric, Ivana %A Chang, Alan L. %A Shaw, Gary M. %A Stevenson, David K. %A Bendall, Sean %A Davis, Kara L. %A Fantl, Wendy J. %A Nolan, Garry P. %A Hastie, Trevor %A Tibshirani, Robert %A Angst, Martin S. %A Gaudilliere, Brice %A Aghaeepour, Nima %D 2020 %J Nat. Mach. Intell. %K dblp %N 10 %P 619-628 %T Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. %U http://dblp.uni-trier.de/db/journals/natmi/natmi2.html#CulosTSBGMFTNEX20 %V 2

@article{journals/natmi/CulosTSBGMFTNEX20, added-at = {2022-10-02T00:00:00.000+0200}, author = {Culos, Anthony and Tsai, Amy and Stanley, Natalie and Becker, Martin and Ghaemi, Mohammad Sajjad and Mcilwain, David and Fallahzadeh, Ramin and Tanada, Athena and Nassar, Huda and Espinosa, Camilo and Xenochristou, Maria and Ganio, Edward and Peterson, Laura and Han, Xiaoyuan and Stelzer, Ina A. and Ando, Kazuo and Gaudilliere, Dyani and Phongpreecha, Thanaphong and Maric, Ivana and Chang, Alan L. and Shaw, Gary M. and Stevenson, David K. and Bendall, Sean and Davis, Kara L. and Fantl, Wendy J. and Nolan, Garry P. and Hastie, Trevor and Tibshirani, Robert and Angst, Martin S. and Gaudilliere, Brice and Aghaeepour, Nima}, biburl = {https://www.bibsonomy.org/bibtex/202640621242048874e3a53c9218e5d7e/dblp}, ee = {https://www.wikidata.org/entity/Q104136735}, interhash = {8c4abd015ef361f9e159eaec251d7b55}, intrahash = {02640621242048874e3a53c9218e5d7e}, journal = {Nat. Mach. Intell.}, keywords = {dblp}, number = 10, pages = {619-628}, timestamp = {2024-04-08T20:50:45.000+0200}, title = {Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.}, url = {http://dblp.uni-trier.de/db/journals/natmi/natmi2.html#CulosTSBGMFTNEX20}, volume = 2, year = 2020 }