%0 Journal Article %1 journals/bmcbi/ShimLKK22 %A Shim, Yongsun %A Lee, Munhwan %A Kim, Pil-Jong %A Kim, Hong-Gee %D 2022 %J BMC Bioinform. %K dblp %N 1 %P 163 %T A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction. %U http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi23.html#ShimLKK22 %V 23

@article{journals/bmcbi/ShimLKK22, added-at = {2024-05-07T00:00:00.000+0200}, author = {Shim, Yongsun and Lee, Munhwan and Kim, Pil-Jong and Kim, Hong-Gee}, biburl = {https://www.bibsonomy.org/bibtex/270696a622bed3543ce3cc27bb4235c3b/dblp}, ee = {https://doi.org/10.1186/s12859-022-04698-8}, interhash = {622a1850a31c569b3fad8f5741a4ff9c}, intrahash = {70696a622bed3543ce3cc27bb4235c3b}, journal = {BMC Bioinform.}, keywords = {dblp}, number = 1, pages = 163, timestamp = {2024-05-13T07:18:02.000+0200}, title = {A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction.}, url = {http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi23.html#ShimLKK22}, volume = 23, year = 2022 }