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33篇 您的检索式：作者名="Tetko"

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	题名	作者	年代	出处	被引量
1	Virtual computational chemistry laboratory: Design and description显示文摘	Tetko I Gasteiger J Todeschini R	2005	Journal of Computer-Aided Molecular Design2005，19，6：	1
2	Applications of neural net- works in structure-activity relationships of a small number of molecules显示文摘	Tetko I V Luik A I Poda G I	1993	J Med Chem1993，36，：	1
3	Applications of neural networks in structure-activity relationships of a small mumber of molecules 显示文摘	Tetko J V Luik A I Poda G I	1993	J Med Chem1993，36，7：	1
4	Optimization models for cancer classification: extracting gene interaction informa- tion from microarray expression data 显示文摘	ANTONOV A V TETKO I V MADER M T	2004	Bioinformatics2004，20，5：	1
5	Critical assessment of QSAR models to predict environmental toxicity against tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection显示文摘	Tetko IV Sushko I Pandey AK Tropsha A Zhu H Papa E Oberq T Todeschini R Fourches D Varnek A	2008	Journal of Chemical Information and Modeling2008，48，9：	1
6	Combinatorial QSAR modeling of chemical toxicants tested against tetrahymena pyriformis显示文摘	Zhu H Tropsha A Fonrches D Varnek A Papa E Gramatica P Oberg T Dao P Cherkasov A Tetko IV	2008	Journal of Chemical Information and Modeling2008，48，4：	1
7	Estimation of aqueous solubility of chemical compounds using e-state indices显示文摘	Tetko IV Tanehuk VY Kasheva TN	2001	J Chem Inf Comput Sci2001，41，：	1
8	Gene selection from microarray data for cancer classification - a machine learning ap- proach 显示文摘	WANG Y TETKO I V HALL M A	2005	Computational Biology and Chemistry2005，29，1：	1
9	Virtual computational chemistry laboratory-design and description 显示文摘	Tetko I V Gasteiger J Todeschini R	2005	Comput-Aided Mol Des2005，19，：	1
10	Volume Learning Algorithm Artificial Neural Networks for 3D QSAR Studies 显示文摘	TETKO I V KOVALISHYN V V LIVINGSTONE D J	2001	Journal of Medicinal Chemistry2001，44，15：	1
11	Gene selection from rni- croarray data for cancer classification-a machine learning ap- proach显示文摘	Wang Y Tetko I V HallMark A	2005	Computation Biology and Chemistry2005，29，1：	1
12	Mewes HW:super paramagnetic clustering of protein sequences显示文摘	Tetko I V Facius A Ruepp A	2005	BMC Bioinformatics2005，6，82：	1
13	Optimization Models for Cancer Classification:Extracting Gene Interaction Information from Microarray Expression Data显示文摘	Antonov A V Tetko I V Mader M T	2004	Bioinformatics2004，20，5：	1
14	Gene selection from microarray data for cancer classification: a machine learning approach显示文摘	Wang Y Tetko L V	2005	Computational Biology and Chemistry2005，290，：	1
15	Gene Selection from Microarray Data for Cancer Classification-a Machine Learning Approach显示文摘	Wang Y Tetko I V Hall M A	2005	Computational Biology and Chemistry2005，，29：	1
16	Beyond the 'best' match: Machine learning annotation of protein sequences by integration of different sources of information 显示文摘	TETKO I RODCHENKOV I WALTER M	2008	Bioinformatics2008，24，5：	1
17	Volume learning algorithm artificial neural net- works for 3D QSAR studies显示文摘	Tetko Kovalishyu Living'store	2001	Journal of Medicinal Chemistry2001，44，15：	1
18	Prediction of n-octanol/water partition coefficients from PHYSPROP database using artificial neural networks and E-state indices 显示文摘	Tetko IV Tanchuk VY Villa AE	2001	J Chem Inf Comput Sci2001，41，5：	1
19	Virtual Computational Chemistry Laboratory:Design and De- scription显示文摘	Tetko I V Gasteiger J Todeschini R	2005	J Comput-Aided Mol Des2005，19，：	1
20	Parvalbumin deficiency affects network properties resulting in increased susceptibility to epileptic seizures显示文摘	Schwaller B Tetko IV Tandon P	2004	Mol Cell Neurosci2004，25，4：	1

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