{"date_created":"2019-06-18T15:37:19Z","user_id":"49109","citation":{"apa":"Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider, D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining, 9(10).","ieee":"M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification,” BioData Mining, vol. 9, no. 10, 2016.","mla":"Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.","ama":"Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining. 2016;9(10).","chicago":"Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016).","short":"M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData Mining 9 (2016).","bibtex":"@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification}, volume={9}, number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge, Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }"},"volume":9,"title":"Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification","_id":"10266","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"full_name":"Riemenschneider, M.","last_name":"Riemenschneider","first_name":"M."},{"last_name":"Senge","full_name":"Senge, Robin","first_name":"Robin"},{"first_name":"U.","full_name":"Neumann, U.","last_name":"Neumann"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"},{"first_name":"D.","last_name":"Heider","full_name":"Heider, D."}],"year":"2016","status":"public","intvolume":" 9","date_updated":"2022-01-06T06:50:33Z","type":"journal_article","publication":"BioData Mining","issue":"10","language":[{"iso":"eng"}]}