Antonio Ciampi
Orcid: 0000-0003-4838-8297
  According to our database1,
  Antonio Ciampi
  authored at least 13 papers
  between 1995 and 2020.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2020
SeSaMe PS Function: Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Mycorrhizal Fungi.
    
  
    Genom. Proteom. Bioinform., 2020
    
  
SeSaMe: Metagenome Sequence Classification of Arbuscular Mycorrhizal Fungi-associated Microorganisms.
    
  
    Genom. Proteom. Bioinform., 2020
    
  
  2016
funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types.
    
  
    Bioinform., 2016
    
  
  2012
Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ<sup>2</sup> Distance and Correspondence Analysis.
    
  
    Commun. Stat. Simul. Comput., 2012
    
  
Model-Based Clustering of Longitudinal Data: Application to Modeling Disease Course and Gene Expression Trajectories.
    
  
    Commun. Stat. Simul. Comput., 2012
    
  
  2010
L'arbre à nuds probabilistes: Une nouvelle approche à la construction d'arbres de prédictions.
    
  
    Monde des Util. Anal. Données, 2010
    
  
  2009
    Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
    
  
  2008
Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets.
    
  
    Pattern Anal. Appl., 2008
    
  
  2005
Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria.
    
  
    Stat. Comput., 2005
    
  
  2000
    Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
    
  
Clustering Large, Multi-level Data Sets: An Apporach Based on Kohonen Self Organizing Maps.
    
  
    Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
    
  
  1995
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration.
    
  
    Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995