Emanuel Weitschek
Emanuel Weitschek
Department of Engineering, Uninettuno University
Verified email at iasi.cnr.it - Homepage
TitleCited byYear
DNA barcoding of recently diverged species: relative performance of matching methods
R van Velzen, E Weitschek, G Felici, FT Bakker
PloS one 7 (1), e30490, 2012
Learning to classify species with barcodes
P Bertolazzi, G Felici, E Weitschek
BMC bioinformatics 10 (14), S7, 2009
Gene expression biomarkers in the brain of a mouse model for Alzheimer's disease: mining of microarray data by logic classification and feature selection
I Arisi, M D'Onofrio, R Brandi, A Felsani, S Capsoni, G Drovandi, G Felici, ...
Journal of Alzheimer's Disease 24 (4), 721-738, 2011
BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it
E Weitschek, R Van Velzen, G Felici, P Bertolazzi
Molecular ecology resources 13 (6), 1043-1046, 2013
Supervised DNA Barcodes species classification: analysis, comparisons and results
E Weitschek, G Fiscon, G Felici
BioData mining 7 (1), 4, 2014
Integer programming models for feature selection: New extensions and a randomized solution algorithm
P Bertolazzi, G Felici, P Festa, G Fiscon, E Weitschek
European Journal of Operational Research 250 (2), 389-399, 2016
Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers
D Polychronopoulos, E Weitschek, S Dimitrieva, P Bucher, G Felici, ...
Genomics 104 (2), 79-86, 2014
MALA: a microarray clustering and classification software
E Weitschek, G Felici, P Bertolazzi
2012 23rd International Workshop on Database and Expert Systems Applications …, 2012
TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas
F Cumbo, G Fiscon, S Ceri, M Masseroli, E Weitschek
BMC bioinformatics 18 (1), 6, 2017
CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules
V Cestarelli, G Fiscon, G Felici, P Bertolazzi, E Weitschek
Bioinformatics 32 (5), 697-704, 2015
Clinical data mining: problems, pitfalls and solutions
E Weitschek, G Felici, P Bertolazzi
2013 24th International Workshop on Database and Expert Systems Applications …, 2013
Next generation sequencing reads comparison with an alignment-free distance
E Weitschek, D Santoni, G Fiscon, MC De Cola, P Bertolazzi, G Felici
BMC research notes 7 (1), 869, 2014
Human polyomaviruses identification by logic mining techniques
E Weitschek, AL Presti, G Drovandi, G Felici, M Ciccozzi, M Ciotti, ...
Virology journal 9 (1), 58, 2012
Alzheimer's disease patients classification through EEG signals processing
G Fiscon, E Weitschek, G Felici, P Bertolazzi, S De Salvo, P Bramanti, ...
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014
LAF: logic alignment free and its application to bacterial genomes classification
E Weitschek, F Cunial, G Felici
BioData mining 8 (1), 39, 2015
A novel method and software for automatically classifying Alzheimer’s disease patients by magnetic resonance imaging analysis
F Previtali, P Bertolazzi, G Felici, E Weitschek
Computer methods and programs in biomedicine 143, 89-95, 2017
Classification of large DNA methylation datasets for identifying Cancer drivers
F Celli, F Cumbo, E Weitschek
Big data research 13, 21-28, 2018
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification
G Fiscon, E Weitschek, E Cella, AL Presti, M Giovanetti, M Babakir-Mina, ...
BioData mining 9 (1), 38, 2016
Combining EEG signal processing with supervised methods for Alzheimer's patients classification
G Fiscon, E Weitschek, A Cialini, G Felici, P Bertolazzi, S De Salvo, ...
BMC Medical Informatics and Decision Making 18 (35), 2018
Genomic data integration: A case study on next generation sequencing of cancer
E Weitschek, F Cumbo, E Cappelli, G Felici
2016 27th International Workshop on Database and Expert Systems Applications …, 2016
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