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Vladimir Brusic
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2020 – today
- 2023
- [j42]Wenshuo Wang, Xu Li, Xiuqin Qiu, Xiang Zhang, Jindong Zhao
, Vladimir Brusic
A privacy preserving framework for federated learning in smart healthcare systems. Inf. Process. Manag. 60(1): 103167 (2023) - 2022
- [j41]Shuyu Li
Multi-AP and Test Point Accuracy of the Results in WiFi Indoor Localization. Sensors 22(10): 3709 (2022) - [c45]Xiang Zhang, Matthew Pike
Ethically Informed Software Process for Smart Health Home. CBMS 2022: 187-192 - [c44]Stuart McDonald
Social Impact of Smart Environments: Software Engineering Perspectives and Challenges. COMPSAC 2022: 1592-1597 - [c43]Kun Shang
The development of ethically informed standards for intelligent monitoring systems of electric machines. COMPSAC 2022: 1598-1605 - 2021
- [j40]Guanglan Zhang
TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes. BMC Bioinform. 22-S(8): 40 (2021) - [c42]Xin Lin
Correctness of Cell Labels in Public Single Cell Transcriptomics Datasets. BIBM 2021: 3280-3284 - [c41]Minjie Lyu, Yihan Zhang, Luning Yang, Xin Lin
PBMC Cell Classification from Single Cell mRNA Expression by Artificial Neural Networks, Profiles, Gene Markers, and Protein Markers. BIBM 2021: 3285-3290 - [c40]Aleksandar Veljkovic
Classification of Single Cell Types using Small Sets of Expressed Genes: Comparative Analysis of Supervised Machine Learning Methods. BIBM 2021: 3322-3326 - [c39]Luning Yang
Applications of single cell profiles of PBMC: Improvements of cell type classification. BIBM 2021: 3334-3340 - [c38]Shuyu Li
Multi-Step Optimization of Indoor Localization Accuracy Using Commodity WiFi. PIMRC 2021: 1267-1272 - 2020
- [c37]Xin Lin
Artificial Neural Network System for Cell Classification using Single Cell RNA Expression. BIBM 2020: 1253-1257 - [c36]Minjie Lyu, Milena Radenkovic
Classification of Single Cell Types During Leukemia Therapy using Artificial Neural Networks. BIBM 2020: 1258-1261 - [c35]Luning Yang, Yihan Zhang, Nenad Mitic, Derin B. Keskin, Guanglan Zhang, Lou Chitkushev, Vladimir Brusic
Single-cell mRNA Profiles in PBMC. BIBM 2020: 1318-1323 - [c34]Luning Yang, Yihan Zhang, Nenad Mitic, Derin B. Keskin, Guanglan Zhang, Lou Chitkushev, Vladimir Brusic
Prediction of PBMC Cell Types Using scRNAseq Reference Profiles. BIBM 2020: 1324-1328 - [c33]Yihan Zhang, Luning Yang, Vladimir Brusic
Automation of Gene Expression Profile Analysis in Single Cell Data. BIBM 2020: 1329-1334 - [c32]Bangrui Zheng, Minjie Lyu, Sen Lin, Vladimir Brusic
Tissue of origin classification from single cell mRNA expression by Artificial Neural Networks. BIBM 2020: 1346-1350 - [c31]Jiahui Zhong
Classification of PBMC cell types using scRNAseq, ANN, and incremental learning. BIBM 2020: 1351-1355 - [c30]Kun Shang
Polyimide-Coated Fibre Bragg Grating (FBG) Sensors for Thermal Mapping of Electric Machine Windings. ICTON 2020: 1-4
2010 – 2019
- 2019
- [c29]Razin Abdulrauf Shaikh
Classification of Five Cell Types from PBMC Samples using Single Cell Transcriptomics and Artificial Neural Networks. BIBM 2019: 2207-2213 - [c28]Guanglan Zhang, Lou Chitkushev, Derin B. Keskin, Vladimir Brusic
TANTIGEN 2.0: an online database and analysis platform for tumor T cell antigens. BIBM 2019: 2228-2231 - [c27]Matthew Pike
Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges. COMPSAC (1) 2019: 834-839 - 2018
- [j39]Ping Zhang
Elemental metabolomics. Briefings Bioinform. 19(3): 524-536 (2018) - [c26]Jingjie Xu, Razin Abdulrauf Shaikh
Single Cell Transcriptomics Reveals Summary Patterns Specific for PBMCs and Other Cell Types. BIBM 2018: 1435-1438 - 2017
- [c25]Jon B. Long, Yingyuan Zhang, Vladimir Brusic
Antidote Application: An Educational System for Treatment of Common Toxin Overdose. BCB 2017: 442-448 - [c24]Guanglan Zhang, Derin B. Keskin, James A. DeCaprio, Catherine J. Wu, Lou Chitkushev, Vladimir Brusic
MCVdb: A database for knowledge discovery in Merkel cell polyomavirus with applications in T cell immunology and vaccinology. BIBM 2017: 1483-1488 - 2015
- [j38]Luke Vandewater, Vladimir Brusic
An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression. BMC Bioinform. 16(S18): S1 (2015) - 2014
- [j37]Guanglan Zhang, Angelika Riemer
HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology. Database J. Biol. Databases Curation 2014 (2014) - [c23]Jon Long, Yingyuan Zhang, Lubomir T. Chitkushev, Vladimir Brusic
Antidote application: an educational system for treatment of common toxin overdose. BCB 2014: 598-599 - 2013
- [j36]Yongqun He
Computational vaccinology and the ICoVax 2012 workshop. BMC Bioinform. 14(S-4): I1 (2013) - [c22]Ping Zhang
Biomarkers in Immunology: from Concepts to Applications. BCB 2013: 826 - [c21]Jing Sun, Guanglan Zhang, Lars Rønn Olsen, Ellis L. Reinherz, Vladimir Brusic
Landscape of neutralizing assessment of monoclonal antibodies against dengue virus. BCB 2013: 836 - [c20]Guanglan Zhang, Angelika Riemer, Derin B. Keskin, Lou Chitkushev, Ellis L. Reinherz, Vladimir Brusic
HPVdb: a Data Mining System for Knowledge Discovery in Human Papillomavirus with Applications in T cell Immunology and Vaccinology. BCB 2013: 843 - 2012
- [j35]Christian Schönbach
InCoB2012 Conference: from biological data to knowledge to technological breakthroughs. BMC Bioinform. 13(S-17): S1 (2012) - [j34]Francesco Pappalardo
Immune System Modeling and Related Pathologies. Comput. Math. Methods Medicine 2012: 274702:1-274702:2 (2012) - 2011
- [j33]David S. DeLuca, Derin B. Keskin, Guang Zhang, Ellis L. Reinherz, Vladimir Brusic
PB1-F2 Finder: scanning influenza sequences for PB1-F2 encoding RNA segments. BMC Bioinform. 12(S-13): S6 (2011) - [c19]Guanglan Zhang, Melisa L. Budde, Jennifer J. Lhost, David H. O'Connor
PREDmafa: a system for prediction of peptide binding to several MHC class I molecules in cynomolgus macaques. BCB 2011: 602-606 - [c18]Guanglan Zhang, Ellis L. Reinherz, Derin B. Keskin, Vladimir Brusic
A cDNA microarray for rapid and economical identification of HLA profiles of individuals. BIBM Workshops 2011: 677-679 - [c17]Esma Dilek, Tanya Zlateva, Guanglan Zhang, Lubomir T. Chitkushev, Jae Young Lee, Vladimir Brusic
Probe design optimization of HLA microarray: Data cleaning of probe signals from cDNA tiling microarray: Outlier detection, noise reduction, and identification of uninformative probes in HLA typing application. BIBM Workshops 2011: 680-682 - [c16]Suresh Kalathur, Vladimir Brusic
Visualization tools for presenting and analysis of global landscapes of vaccine targets. BIBM Workshops 2011: 683-688 - 2010
- [j32]Liwen You, Vladimir Brusic
Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes. IEEE ACM Trans. Comput. Biol. Bioinform. 7(4): 741-751 (2010)
2000 – 2009
- 2009
- [j31]Francesco Pappalardo
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings Bioinform. 10(3): 330-340 (2009) - [c15]Francesco Pappalardo
The ImmunoGrid Simulator: How to Use It. CIBB 2009: 1-19 - 2008
- [j30]Vladimir Brusic
Critical technologies for bioinformatics. Briefings Bioinform. 9(4): 261-262 (2008) - [j29]Olivo Miotto
Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis. BMC Bioinform. 9(S-1) (2008) - [j28]Olivo Miotto
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses. BMC Bioinform. 9(S-1) (2008) - [j27]Guanglan Zhang, Asif M. Khan
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes. BMC Bioinform. 9(S-1) (2008) - [j26]Honghuang Lin
Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research. BMC Bioinform. 9(S-12) (2008) - [c14]Ping Zhang
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules. ICONIP (1) 2008: 529-536 - 2007
- [j25]Vladimir Brusic
The growth of bioinformatics. Briefings Bioinform. 8(2): 69-70 (2007) - [j24]Menaka Rajapakse, Bertil Schmidt
Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms. BMC Bioinform. 8 (2007) - [c13]Liwen You, Ping Zhang
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. PRIB 2007: 337-348 - 2006
- [j23]Joo Chuan Tong, Guanglan Zhang, Tin Wee Tan, J. Thomas August, Vladimir Brusic
Prediction of HLA-DQ3.2ß Ligands: evidence of multiple registers in class II binding peptides. Bioinform. 22(10): 1232-1238 (2006) - [j22]Asif M. Khan
Large-scale analysis of antigenic diversity of T-cell epitopes in dengue virus. BMC Bioinform. 7(S-5) (2006) - [c12]Menaka Rajapakse, Bertil Schmidt
Multi-Objective Evolutionary Algorithm for Discovering Peptide Binding Motifs. EvoWorkshops 2006: 149-158 - [c11]Seng Hong Seah, Chee Keong Kwoh, Vladimir Brusic
Functional Prediction of Snake Neurotoxins. ICARCV 2006: 1-4 - [c10]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
Extreme Learning Machine for Predicting HLA-Peptide Binding. ISNN (2) 2006: 716-721 - [c9]Kai-Tak Lam, Judice L. Y. Koh, Bharadwaj Veeravalli, Vladimir Brusic
Incremental Maintenance of Biological Databases Using Association Rule Mining. PRIB 2006: 140-150 - 2005
- [j21]Guanglan Zhang, Asif M. Khan
Neural Models for Predicting Viral Vaccine Targets. J. Bioinform. Comput. Biol. 3(5): 1207-1226 (2005) - [j20]Guanglan Zhang, Asif M. Khan
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides. Nucleic Acids Res. 33(Web-Server-Issue): 172-179 (2005) - [j19]Guanglan Zhang, Kellathur N. Srinivasan, Anitha Veeramani, J. Thomas August, Vladimir Brusic
PREDBALB/c: a system for the prediction of peptide binding to H2d molecules, a haplotype of the BALB/c mouse. Nucleic Acids Res. 33(Web-Server-Issue): 180-183 (2005) - [c8]Ivana Bozic
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers. IDEAL 2005: 375-381 - [c7]Olivo Miotto, Tin Wee Tan, Vladimir Brusic
Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources. IDEAL 2005: 398-405 - [c6]Menaka Rajapakse, Lonce L. Wyse, Bertil Schmidt
Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm. IDEAL 2005: 440-447 - 2004
- [j18]Joyce Phui Yee Siew, Asif M. Khan
Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach. Bioinform. 20(18): 3466-3480 (2004) - [j17]Manisha Brahmachary, S. P. T. Krishnan, Judice L. Y. Koh, Asif M. Khan, Seng Hong Seah, Tin Wee Tan, Vladimir Brusic, Vladimir B. Bajic:
ANTIMIC: a database of antimicrobial sequences. Nucleic Acids Res. 32(Database-Issue): 586-589 (2004) - [j16]Johann Lenffer, Paulo Lai, Wafaa El Mejaber, Asif M. Khan
CysView: protein classification based on cysteine pairing patterns. Nucleic Acids Res. 32(Web-Server-Issue): 350-355 (2004) - [c5]Kellathur N. Srinivasan, Guanglan Zhang, Asif M. Khan
Prediction of class I T-cell epitopes: evidence of presence of immunological hot spots inside antigens. ISMB/ECCB (Supplement of Bioinformatics) 2004: 297-302 - 2003
- [j15]Paul T. J. Tan, Asif M. Khan
Bioinformatics for Venom and Toxin Sciences. Briefings Bioinform. 4(1): 53-62 (2003) - [j14]Nikolai Petrovsky, Christian Schönbach, Vladimir Brusic:
Bioinformatic strategies for better understanding of immune function. Silico Biol. 3(4): 411-416 (2003) - [j13]Vladimir Brusic
From Immunoinformatics to Immunomics. J. Bioinform. Comput. Biol. 1(1): 179-182 (2003) - [c4]Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See-Kiong Ng, Limsoon Wong:
From Informatics to Bioinformatics. APBC 2003: 3-12 - 2002
- [j12]Vladimir B. Bajic, Seng Hong Seah, Allen Chong, Guanglan Zhang, Judice L. Y. Koh, Vladimir Brusic:
Dragon Promoter Finder: recognition of vertebrate RNA polymerase II promoters. Bioinform. 18(1): 198-199 (2002) - [j11]Vladimir B. Bajic, Allen Chong, Seng Hong Seah, Vladimir Brusic:
An Intelligent System for Vertebrate Promoter Recognition. IEEE Intell. Syst. 17(4): 64-70 (2002) - [j10]Vladimir B. Bajic, Suisheng Tang, Hao Han, Vladimir Brusic, Artemis G. Hatzigeorgiou:
Artificial Neural Networks Based Systems for Recognition of Genomic Signals and Regions: A Review. Informatica (Slovenia) 26(4) (2002) - [j9]Christian Schönbach
FIMM, a database of functional molecular immunology: update 2002. Nucleic Acids Res. 30(1): 226-229 (2002) - 2000
- [j8]Christian Schönbach
Data Warehousing in Molecular Biology. Briefings Bioinform. 1(1): 190-198 (2000) - [j7]Christian Schönbach
FIMM, a database of functional molecular immunology. Nucleic Acids Res. 28(1): 222-224 (2000)
1990 – 1999
- 1999
- [j6]Vladimir Brusic
Knowledge discovery and data mining in biological databases. Knowl. Eng. Rev. 14(3): 257-277 (1999) - [c3]Vladimir Brusic, John Zeleznikow
Artificial neural network applications in immunology. IJCNN 1999: 3685-3689 - 1998
- [j5]Vladimir Brusic
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network. Bioinform. 14(2): 121-130 (1998) - [j4]Vladimir Brusic, Peter van Endert, John Zeleznikow, Soizic Daniel, Jürgen Hammer, Nikolai Petrovsky:
A neural network model approach to the study of human TAP transporter. Silico Biol. 1(2): 109-121 (1998) - [j3]Vladimir Brusic
MHCPEP, a database of MHC-binding peptides: update 1997. Nucleic Acids Res. 26(1): 368-371 (1998) - [c2]Lawrence S. Hon, Neil F. Abernethy, Vladimir Brusic, Jenny Chai, Russ B. Altman:
MHCWeb: converting a WWW database into a knowledge-based collaborative environment. AMIA 1998 - 1997
- [j2]Vladimir Brusic
MHCPEP, a database of MHC-binding peptides: update 1996. Nucleic Acids Res. 25(1): 269-271 (1997) - [c1]Vladimir Brusic, Christian Schönbach, Masafumi Takiguchi, Victor Ciesielski, Leonard C. Harrison:
Application of Genetic Search in Derivation of Matrix Models of Peptide Binding to MHC Molecules. ISMB 1997: 75-83 - 1996
- [j1]Vladimir Brusic
MHCPEP--a database of MHC-binding peptides: update 1995. Nucleic Acids Res. 24(1): 242-244 (1996)
Coauthor Index
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