Lukasz Kurgan

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Vladimir UverskyProfessor, USFDirección de correo verificada de usf.edu
Krzysztof J Cios, Fellow: IEEE, AIMBEProfessor of Computer Science, VCUDirección de correo verificada de vcu.edu
Witold PedryczDirección de correo verificada de ualberta.ca
zhenling pengShandong UniversityDirección de correo verificada de tju.edu.cn
bin xueUniversity of South FloridaDirección de correo verificada de usf.edu
Gang HuProfessor of Bioinformatics, Nankai UniversityDirección de correo verificada de nankai.edu.cn
Christopher J OldfieldVirginia Commonwealth UniversityDirección de correo verificada de vcu.edu
A. Keith DunkerProfessor of Biochemistry,Indiana University School of MedicineDirección de correo verificada de iupui.edu
Marek ReformatUniversity of AlbertaDirección de correo verificada de ualberta.ca
Akila Imesha KatuwawalaAdimab LLCDirección de correo verificada de adimab.com
Tuo ZhangInstructor, Weill Cornell Medical CollegeDirección de correo verificada de med.cornell.edu
Jiangning (John) SongProfessor, Biomedicine Discovery Institute, Monash UniversityDirección de correo verificada de monash.edu
Xiao FanUniversity of FloridaDirección de correo verificada de ualberta.ca
Bi ZhaoUniversity of South FloridaDirección de correo verificada de usf.edu
Jianzhao GaoSchool of Mathematical Sciences , Nankai UniversityDirección de correo verificada de nankai.edu.cn
Jian ZhangXinyang Normal UniversityDirección de correo verificada de vcu.edu
Min LiSchool of Computer Science and Engineering, Central South UniversityDirección de correo verificada de mail.csu.edu.cn
Kanaka Durga KedarisettiUniversity of AlbertaDirección de correo verificada de ualberta.ca
Sina GhadermarziYale UniversityDirección de correo verificada de yale.edu
Chen WangColumbia UniversityDirección de correo verificada de columbia.edu

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Lukasz Kurgan

Computer Science, Virginia Commonwealth University

Dirección de correo verificada de vcu.edu - Página principal

Structural Bioinformatics Intrinsically Disordered Proteins Machine Learning Data Science


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Guidelines for the use and interpretation of assays for monitoring autophagy DJ Klionsky, AK Abdel-Aziz, S Abdelfatah, M Abdellatif, A Abdoli, S Abel, ... autophagy 17 (1), 1-382, 2021	9855	2021
D²P²: database of disordered protein predictions ME Oates, P Romero, T Ishida, M Ghalwash, MJ Mizianty, B Xue, ... Nucleic acids research 41 (D1), D508-D516, 2012	756	2012
CAIM discretization algorithm LA Kurgan, KJ Cios IEEE transactions on Knowledge and Data Engineering 16 (2), 145-153, 2004	644	2004
A survey of knowledge discovery and data mining process models LA Kurgan, P Musilek The Knowledge Engineering Review 21 (1), 1-24, 2006	643	2006
Genetic learning of fuzzy cognitive maps W Stach, L Kurgan, W Pedrycz, M Reformat Fuzzy sets and systems 153 (3), 371-401, 2005	624	2005
Impact of imputation of missing values on classification error for discrete data A Farhangfar, L Kurgan, J Dy Pattern Recognition 41 (12), 3692-3705, 2008	472	2008
Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life Z Peng, J Yan, X Fan, MJ Mizianty, B Xue, K Wang, G Hu, VN Uversky, ... Cellular and Molecular Life Sciences 72, 137-151, 2015	420	2015
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins FM Disfani, WL Hsu, MJ Mizianty, CJ Oldfield, B Xue, AK Dunker, ... Bioinformatics 28 (12), i75-i83, 2012	387	2012
Knowledge discovery approach to automated cardiac SPECT diagnosis LA Kurgan, KJ Cios, R Tadeusiewicz, M Ogiela, LS Goodenday Artificial intelligence in medicine 23 (2), 149-169, 2001	336	2001
A novel framework for imputation of missing values in databases A Farhangfar, LA Kurgan, W Pedrycz IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2007	320	2007
SPINE X: improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles E Faraggi, T Zhang, Y Yang, L Kurgan, Y Zhou Journal of computational chemistry 33 (3), 259-267, 2012	307	2012
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021	277	2021
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions G Hu, A Katuwawala, K Wang, Z Wu, S Ghadermarzi, J Gao, L Kurgan Nature communications 12 (1), 4438, 2021	236	2021
DRNApred, fast sequence-based method that accurately predicts and discriminates DNA-and RNA-binding residues J Yan, L Kurgan Nucleic acids research 45 (10), e84-e84, 2017	225	2017
Trends in data mining and knowledge discovery KJ Cios, LA Kurgan Advanced techniques in knowledge discovery and data mining, 1-26, 2005	222	2005
Structural disorder in viral proteins B Xue, D Blocquel, J Habchi, AV Uversky, L Kurgan, VN Uversky, ... Chemical reviews 114 (13), 6880-6911, 2014	220	2014
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources MJ Mizianty, W Stach, K Chen, KD Kedarisetti, FM Disfani, L Kurgan Bioinformatics 26 (18), i489-i496, 2010	206	2010
Classifier ensembles for protein structural class prediction with varying homology KD Kedarisetti, L Kurgan, S Dick Biochemical and Biophysical Research Communications 348 (3), 981-988, 2006	202	2006
Prediction of protein structural class using novel evolutionary collocation‐based sequence representation KE Chen, LA Kurgan, J Ruan Journal of computational chemistry 29 (10), 1596-1604, 2008	201	2008
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions F Meng, VN Uversky, L Kurgan Cellular and Molecular Life Sciences 74, 3069-3090, 2017	199	2017

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