Dizinleme Kaynağı "PubMed" Bilgisayar Mühendisliği Bölümü için listeleme

Toplam kayıt 3, listelenen: 1-3

    • Evolutionary Multiobjective Query Workload Optimization Of Cloud Data Warehouses 

      Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan (2014)
      With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources ...

    • Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System 

      Bal, Mert; Amasyali, M. Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse (2014)
      The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, ...

    • The Cafa Challenge Reports Improved Protein Function Prediction And New Functional Annotations For Hundreds Of Genes Through Experimental Screens 

      Zhou, Naihui; Jiang, Yuxiang; Bergquist, Timothy R.; Lee, Alexandra J.; Kacsoh, Balint Z.; Crocker, Alex W.; Lewis, Kimberley A.; Georghiou, George; Nguyen, Huy N.; Hamid, Md Nafiz; Davis, Larry; Dogan, Tunca; Atalay, Volkan; Rifaioglu, Ahmet S.; Dalkıran, Alperen; Cetin Atalay, Rengul; Zhang, Chengxin; Hurto, Rebecca L.; Freddolino, Peter L.; Zhang, Yang; Bhat, Prajwal; Supek, Fran; Fernández, José M.; Gemovic, Branislava; Perovic, Vladimir R.; Davidović, Radoslav S.; Sumonja, Neven; Veljkovic, Nevena; Asgari, Ehsaneddin; Mofrad, Mohammad R.K.; Profiti, Giuseppe; Savojardo, Castrense; Martelli, Pier Luigi; Casadio, Rita; Boecker, Florian; Schoof, Heiko; Kahanda, Indika; Thurlby, Natalie; McHardy, Alice C.; Renaux, Alexandre; Saidi, Rabie; Gough, Julian; Freitas, Alex A.; Antczak, Magdalena; Fabris, Fabio; Wass, Mark N.; Hou, Jie; Cheng, Jianlin; Wang, Zheng; Romero, Alfonso E.; Paccanaro, Alberto; Yang, Haixuan; Goldberg, Tatyana; Zhao, Chenguang; Holm, Liisa; Törönen, Petri; Medlar, Alan J.; Zosa, Elaine; Borukhov, Itamar; Novikov, Ilya; Wilkins, Angela; Lichtarge, Olivier; Chi, Po-Han; Tseng, Wei-Cheng; Linial, Michal; Rose, Peter W.; Dessimoz, Christophe; Vidulin, Vedrana; Dzeroski, Saso; Sillitoe, Ian; Das, Sayoni; Lees, Jonathan Gill; Jones, David T.; Wan, Cen; Cozzetto, Domenico; Fa, Rui; Torres, Mateo; Warwick Vesztrocy, Alex; Rodriguez, Jose Manuel; Tress, Michael L.; Frasca, Marco; Notaro, Marco; Grossi, Giuliano; Petrini, Alessandro; Re, Matteo; Valentini, Giorgio; Mesiti, Marco; Roche, Daniel B.; Reeb, Jonas; Ritchie, David W.; Aridhi, Sabeur; Alborzi, Seyed Ziaeddin; Devignes, Marie-Dominique; Koo, Da Chen Emily; Bonneau, Richard; Gligorijević, Vladimir; Barot, Meet; Fang, Hai; Toppo, Stefano; Lavezzo, Enrico; Falda, Marco; Berselli, Michele; Tosatto, Silvio C.E.; Carraro, Marco; Piovesan, Damiano; Ur Rehman, Hafeez; Mao, Qizhong; Zhang, Shanshan; Vucetic, Slobodan; Black, Gage S.; Jo, Dane; Suh, Erica; Dayton, Jonathan B.; Larsen, Dallas J.; Omdahl, Ashton R.; McGuffin, Liam J.; Brackenridge, Danielle A.; Babbitt, Patricia C.; Yunes, Jeffrey M.; Fontana, Paolo; Zhang, Feng; Zhu, Shanfeng; You, Ronghui; Zhang, Zihan; Dai, Suyang; Yao, Shuwei; Tian, Weidong; Cao, Renzhi; Chandler, Caleb; Amezola, Miguel; Johnson, Devon; Chang, Jia-Ming; Liao, Wen-Hung; Liu, Yi-Wei; Pascarelli, Stefano; Frank, Yotam; Hoehndorf, Robert; Kulmanov, Maxat; Boudellioua, Imane; Politano, Gianfranco; Di Carlo, Stefano; Benso, Alfredo; Hakala, Kai; Ginter, Filip; Mehryary, Farrokh; Kaewphan, Suwisa; Björne, Jari; Moen, Hans; Tolvanen, Martti E.E.; Salakoski, Tapio; Kihara, Daisuke; Jain, Aashish; Šmuc, Tomislav; Altenhoff, Adrian; Ben-Hur, Asa; Rost, Burkhard; Brenner, Steven E.; Orengo, Christine A.; Jeffery, Constance J.; Bosco, Giovanni; Hogan, Deborah A.; Martin, Maria J.; O’Donovan, Claire; Mooney, Sean D.; Greene, Casey S.; Radivojac, Predrag; Friedberg, Iddo (2019)
      Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ...