Emanuel Weitschek

发表

Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer

Giovanni Felici, Fabio Cumbo, Emanuel Weitschek, 2016, 2016 27th International Workshop on Database and Expert Systems Applications (DEXA).

BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it

P. Bertolazzi, G. Felici, Emanuel Weitschek, 2013, Molecular ecology resources.

Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers.

P. Bucher, G. Felici, D. Polychronopoulos, 2014, Genomics.

Gene expression biomarkers in the brain of a mouse model for Alzheimer's disease: mining of microarray data by logic classification and feature selection.

P. Bertolazzi, I. Arisi, R. Brandi, 2011, Journal of Alzheimer's disease : JAD.

DNA Barcoding of Recently Diverged Species: Relative Performance of Matching Methods

Giovanni Felici, Emanuel Weitschek, G. Felici, 2012, PloS one.

Clustering and Classification Techniques for Gene Expression Profile Pattern Analysis

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2015 .

SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm

S. Rampone, Emanuel Weitschek, Valerio Morfino, 2019, Soft Computing.

The Cancer Genome Atlas data querying tool

Marco Masseroli, Stefano Ceri, Fabio Cumbo, 2015 .

LAF: Logic Alignment Free and its application to bacterial genomes classification

Giovanni Felici, Emanuel Weitschek, Fabio Cunial, 2015, BioData Mining.

Classifying Bacterial Genomes with Compact Logic Formulas on k-Mer Frequencies

Giovanni Felici, Emanuel Weitschek, Fabio Cunial, 2014, 2014 25th International Workshop on Database and Expert Systems Applications.

Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction

Giovanni Felici, Emanuel Weitschek, Eleonora Cappelli, 2018, BioData Mining.

IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer

Giovanni Felici, Fabio Cumbo, Emanuel Weitschek, 2016, CIBB.

CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2015, Bioinform..

MALA: A Microarray Clustering and Classification Software

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2012, 2012 23rd International Workshop on Database and Expert Systems Applications.

CamurWeb: a classification software and a large knowledge base for gene expression data of cancer

Giovanni Felici, Emanuel Weitschek, Silvia Di Lauro, 2018, BMC Bioinformatics.

MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2016, BioData Mining.

Highlights from the 11th ISCB Student Council Symposium 2015

Giovanni Felici, Farzana Rahman, M. Michael Gromiha, 2016, BMC Bioinformatics.

Supervised DNA Barcodes species classification: analysis, comparisons and results

Giovanni Felici, Emanuel Weitschek, Giulia Fiscon, 2014, BioData Mining.

Next generation sequencing reads comparison with an alignment-free distance

P. Bertolazzi, D. Santoni, G. Felici, 2014, BMC Research Notes.

Next generation sequencing reads comparison with an alignment-free distance

Daniele Santoni, Giovanni Felici, Emanuel Weitschek, 2014, BMC Research Notes.

A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer

Fabio Cumbo, Emanuel Weitschek, Eleonora Cappelli, 2020, Algorithms.

Classifying Big DNA Methylation Data: A Gene-Oriented Approach

Giovanni Felici, Fabio Cumbo, Emanuel Weitschek, 2018, DEXA Workshops.

Novel algorithm to extract multiple solutions for RNA sequence classification problem

Mourad Elloumi, Emanuel Weitschek, Naoual Guannoni, 2019, 2019 International Conference on High Performance Computing & Simulation (HPCS).

Integer programming models for feature selection: New extensions and a randomized solution algorithm

Giovanni Felici, Paola Festa, Emanuel Weitschek, 2016, Eur. J. Oper. Res..

Learning to classify species with barcodes

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2009, BMC Bioinformatics.

Combining EEG signal processing with supervised methods for Alzheimer’s patients classification

Giovanni Felici, Alessia Bramanti, Emanuel Weitschek, 2018, BMC Medical Informatics and Decision Making.

Alzheimer's disease patients classification through EEG signals processing

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease

Emanuel Weitschek, S. De Salvo, M. D. De Cola, 2022, Applied Sciences.

Classification of large DNA methylation datasets for identifying cancer drivers pdf

Fabio Cumbo, Fabrizio Celli, Emanuel Weitschek, 2018, Big Data Res..

TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas

S. Ceri, M. Masseroli, Emanuel Weitschek, 2017, BMC Bioinformatics.

A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2017, Comput. Methods Programs Biomed..

OpenGDC: Unifying, Modeling, Integrating Cancer Genomic Data and Clinical Metadata

Marco Masseroli, Stefano Ceri, Stefano Ceri, 2020, Applied Sciences.

Mining logic models in the presence of noisy data

Giovanni Felici, Emanuel Weitschek, G. Felici, 2012, ISAIM.

GELA: A Software Tool for the Analysis of Gene Expression Data

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2015, 2015 26th International Workshop on Database and Expert Systems Applications (DEXA).

Clinical Data Mining: Problems, Pitfalls and Solutions

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2013, 2013 24th International Workshop on Database and Expert Systems Applications.

Highlights from the 11th ISCB Student Council Symposium 2015

Zdenka Kuncic, Westa Domanova, Dan F. DeBlasio, 2016, BMC Bioinformatics.

Human polyomaviruses identification by logic mining techniques

P. Bertolazzi, G. Felici, M. Ciccozzi, 2012 .

Highlights from the eleventh ISCB Student Council Symposium 2015

Dan F. DeBlasio, Sean J. Humphrey, P. Bertolazzi, 2016 .

Human polyomaviruses identification by logic mining techniques

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2012, Virology Journal.

Price Discrimination in the Online Airline Market: An Empirical Study

Emanuel Weitschek, Stefano Azzolina, M. Razza, 2021, J. Theor. Appl. Electron. Commer. Res..

Smart Persistence and Accessibility of Genomic and Clinical Data

Fabio Cumbo, Emanuel Weitschek, Eleonora Cappelli, 2019, DEXA Workshops.

String-Matching and Alignment Algorithms for Finding Motifs in NGS Data

Emanuel Weitschek, Giulia Fiscon, Emanuel Weitschek, 2017, Algorithms for Next-Generation Sequencing Data.

Supervised DNA Barcodes species classification: analysis, comparisons and results

G. Felici, Emanuel Weitschek, G. Fiscon, 2014, BioData Mining.

DNA Barcoding of Recently Diverged Species: Relative Performance of Matching Methods

G. Felici, F. Bakker, Emanuel Weitschek, 2012, PloS one.

An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer’s disease patients

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Filtering with alignment free distances for high throughput DNA reads assembly

D. Santoni, G. Felici, Emanuel Weitschek, 2012 .