Emanuel Weitschek

发表

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.

Next generation sequencing reads comparison with an alignment-free distance

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

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

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

Smart open online tool for adaptive education on Cloud Computing

Manuel Castro, Dario Assante, Emanuel Weitschek, 2017, 2017 IEEE Global Engineering Education Conference (EDUCON).

Conserved non coding elements classification

Giovanni Felici, Emanuel Weitschek, Yannis Almirantis, 2013 .

A Comparison of Apache Spark Supervised Machine Learning Algorithms for DNA Splicing Site Prediction

Salvatore Rampone, Emanuel Weitschek, Valerio Morfino, 2020, Neural Approaches to Dynamics of Signal Exchanges.

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

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

Analysis of microarray and RNA-sequencing gene expression profiles through clustering and classification techniques

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2014 .

Extending the Genomic Data Model and the Genometric Query Language with Domain Taxonomies

Emanuel Weitschek, Eleonora Cappelli, 2017, ICWE.

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.

Classification of large DNA methylation datasets for identifying cancer drivers pdf

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

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).

Clustering and Classification Techniques for Gene Expression Profile Pattern Analysis

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2015 .

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

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

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

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

Microarray Logic Analyzer Software

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2013 .

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..

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

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

MALA: A Microarray Clustering and Classification Software

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

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.

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

Marco Masseroli, Stefano Ceri, Fabio Cumbo, 2016, 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.

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

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

Intelligent decision support systems for clinical data patient analysis through data mining techniques

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2016 .

The Cancer Genome Atlas data querying tool

Marco Masseroli, Stefano Ceri, Fabio Cumbo, 2015 .

Mining logic models in the presence of noisy data

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

Optimal discretization and selection of features by association rates of joint distributions

Daniele Santoni, Giovanni Felici, Emanuel Weitschek, 2016, RAIRO Oper. Res..

Learning to classify species with barcodes

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

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

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

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).

Species classification using DNA Barcode sequences: A comparative analysis

Giovanni Felici, Emanuel Weitschek, R Van Velzen, 2011 .

Knowledge extraction in clinical data

Giovanni Felici, Emanuel Weitschek, Paola Bertolazzi, 2013 .

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

Salvatore Rampone, Emanuel Weitschek, Valerio Morfino, 2020, Soft Comput..

Classifying Big DNA Methylation Data: A Gene-Oriented Approach

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

Supervised DNA Barcodes species classification: analysis, comparisons and results

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

An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer

Fabio Cumbo, Emanuel Weitschek, 2020, DEXA Workshops.

Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies

Fabio Cumbo, Emanuel Weitschek, Eleonora Cappelli, 2019, CIBB.

Smart Persistence and Accessibility of Genomic and Clinical Data

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

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).

Highlights from the 11th ISCB Student Council Symposium 2015

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

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).

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.

OpenGDC: standardizing, extending, and integrating genomics data of cancer

Marco Masseroli, Fabio Cumbo, Anna Bernasconi, 2018 .

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

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

Human polyomaviruses identification by logic mining techniques

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