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Tomas Novosad
Tomas Novosad
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Standardization of sequencing coverage depth in NGS: recommendation for detection of clonal and subclonal mutations in cancer diagnostics
A Petrackova, M Vasinek, L Sedlarikova, T Dyskova, P Schneiderova, ...
Frontiers in oncology 9, 851, 2019
1062019
Correlation network analysis reveals relationships between microRNAs, transcription factor T-bet, and deregulated cytokine/chemokine-receptor network in pulmonary sarcoidosis
T Dyskova, R Fillerova, T Novosad, M Kudelka, M Zurkova, P Gajdos, ...
Mediators of inflammation 2015, 2015
272015
Searching protein 3-D structures for optimal structure alignment using intelligent algorithms and data structures
T Novosád, V Snášel, A Abraham, JY Yang
IEEE Transactions on Information Technology in Biomedicine 14 (6), 1378-1386, 2010
142010
Comparison of structural variants detected by optical mapping with long-read next-generation sequencing
J Savara, T Novosád, P Gajdoš, E Kriegová
Bioinformatics 37 (20), 3398-3404, 2021
112021
Web site community analysis based on suffix tree and clustering algorithm
K Slaninov, J Martinovic, T Novos, P Drazdilova, L Voj
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011
102011
Vector model improvement using suffix trees
J Martinovic, T Novosad, V Snasel
2007 2nd International Conference on Digital Information Management 1, 180-187, 2007
92007
Prosima: Protein similarity algorithm
T Novosád, V Snášel, A Abraham, JY Yang
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 84-91, 2009
82009
Fast intrusion detection system based on flexible neural tree
T Novosád, J Platos̆, V Snášel, A Abraham
2010 Sixth International Conference on Information Assurance and Security …, 2010
72010
Artificially evolved soft computing models for photovoltaic power plant output estimation
L Prokop, S Mišák, T Novosád, P Krömer, J Platoš, V Snášel
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
62012
Photovoltaic power plant output estimation by neural networks and fuzzy inference
L Prokop, S Mišák, T Novosád, P Krömer, J Platoš, V Snášel
Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012
62012
Mobile phone positioning in GSM networks based on information retrieval methods and data structures
T Novosád, J Martinovič, P Scherer, V Snášel, R Šebesta, P Klement
Digital Information Processing and Communications: International Conference …, 2011
42011
Clustering the mobile phone positions based on suffix tree and self-organizing maps
J Martinovic, T Novosad, V Snasel, P Scherer, P Klement, R Sebesta
Neural Network World 22 (4), 371, 2012
32012
Prediction of dental milling time-error by flexible neural trees and fuzzy rules
P Krömer, T Novosád, V Snášel, V Vera, B Hernando, ...
Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012
22012
YAPS: Yet Another Protein Similarity
T Novosád, V Snášel, A Abraham, JY Yang
2009 International Conference of Soft Computing and Pattern Recognition, 497-504, 2009
22009
Do deregulated miRNAs in sarcoidosis target key pathways towards progressing disease?
T Tomankova, T Novosád, M Zurkova, V Kolek, E Kriegova
IMMUNOLOGY 140, 161-162, 2013
12013
Discovering 3D Protein Structures for Optimal Structure Alignment
T Novosád, V Snáel, A Abraham, JY Yang
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics …, 2013
12013
Analysis of Biological Data
T Novosád
Vysoká škola báňská-Technická univerzita Ostrava, 2015
2015
DISCOVERING 3D PROTEIN STRUCTURES STRUCTURE ALIGNMENT FOR OPTIMAL
T NOVOSAD, V SNASEL, A ABRAHAM, JY YANG
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics …, 2013
2013
Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter
P Krömer, T Novosád, V Snášel, V Vera, B Hernando, ...
Soft Computing Models in Industrial and Environmental Applications: 7th …, 2013
2013
Heavy facilities tension prediction using Flexible Neural Trees
T Novosád, J Platoš, V Snášel, A Abraham, P Fiala
2011 International Conference of Soft Computing and Pattern Recognition …, 2011
2011
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