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A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data
Spinelli, R. / Piazza, R. / Pirola, A. et al. | British Library Conference Proceedings | 2012Contributors: Ambrogi, Federico -
A deep neural network for simultaneous estimation of b jet energy and resolution
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2020 -
A deep neural network for simultaneous estimation of b jet energy and resolution
Free accessSirunyan, Albert M / Tumasyan, Armen / Jeitler, Manfred et al. | BASE | 2020 -
A deep neural network to search for new long-lived particles decaying to jets
Free accessSirunyan, Albert M / Tumasyan, Armen / Jeitler, Manfred et al. | BASE | 2019 -
A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data
Zambelli, F. / Pavesi, G. | British Library Conference Proceedings | 2012Contributors: Ambrogi, Federico -
A Machine Learning Pipeline for Discriminant Pathways Identification
Barla, A. / Jurman, G. / Visintainer, R. et al. | British Library Conference Proceedings | 2012Contributors: Ambrogi, Federico -
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients
Soria, Daniele / Garibaldi, Jonathan M. / Ambrogi, Federico et al. | Tema Archive | 2010 -
An embedding technique to determine ττ backgrounds in proton-proton collision data
Sirunyan, Albert M. / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2019 -
Angular analysis of the decay B+→K+μ+μ− in proton-proton collisions at √s=8 TeV
Sirunyan, Albert M. / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2018 -
Angular analysis of the decay B$\mathrm{^{+}\to}$ K$\mathrm{^+\mu^+\mu^-}$ in proton-proton collisions at $\sqrt{s} =$ 8 TeV
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2018 -
A ‘non-parametric’ version of the naive Bayes classifier
Soria, Daniele / Garibaldi, Jonathan M. / Ambrogi, Federico et al. | Elsevier | 2011 -
A ‘non-parametric’ version of the naive Bayes classifier
Soria, Daniele | Online Contents | 2011Contributors: Ambrogi, Federico -
A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks
Orenti, Annalisa / Boracchi, Patrizia / Marano, Giuseppe et al. | Springer Verlag | 2022 -
A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks
Orenti, Annalisa / Boracchi, Patrizia / Marano, Giuseppe et al. | Online Contents | 2021 -
Artificial neural network for the joint modelling of discrete cause-specific hazards
Biganzoli, Elia M. / Boracchi, Patrizia / Ambrogi, Federico et al. | Elsevier | 2006 -
Artificial neural network for the joint modelling of discrete cause-specific hazards
Biganzoli, Elia M. | Online Contents | 2006Contributors: Ambrogi, Federico -
Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models
Bassani, Niccolò / Ambrogi, Federico / Biganzoli, Elia | Springer Verlag | 2013 -
Assessing flexible models and rule extraction from censored survival data
Lisboa, Paulo J.G. / Biganzoli, Elia M. / Taktak, Azzam F. et al. | IEEE | 2007 -
Bayesian Models for the Multi-sample Time-Course Microarray Experiments
Angelini, C. / De Canditiis, D. / Pensky, M. et al. | British Library Conference Proceedings | 2012Contributors: Ambrogi, Federico -
Bioinformatics and Nanotechnologies: Nanomedicine
Ambrogi, Federico / Coradini, Danila / Bassani, Niccolò et al. | Springer Verlag | 2014
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