Patrizia Boracchi

发表

Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2009, Comput. Stat. Data Anal..

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2010, Comput. Biol. Medicine.

Cancer Profiles by Affinity Propagation

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2008, ICMLA.

Multiple correspondence analysis in S-PLUS

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2005, Comput. Methods Programs Biomed..

Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2018, BMC Bioinformatics.

A general framework for neural network models on censored survival data

Elia Biganzoli, Patrizia Boracchi, Ettore Marubini, 2002, Neural Networks.

Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2013, CIBB.

Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2009, 2009 International Joint Conference on Neural Networks.

Radial basis function neural networks for the analysis of survival data

Elia Biganzoli, Patrizia Boracchi, E. Biganzoli, 2002 .

Bioinformatics and Nanotechnologies: Nanomedicine

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2014, Springer Handbook of Bio-/Neuroinformatics.

Selection of artificial neural network models for survival analysis with Genetic Algorithms

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2007, Comput. Stat. Data Anal..

Reti neurali artificiali per lo studio di fenomeni complessi: limiti e vantaggi delle applicazioni in biostatistica

Elia Biganzoli, Patrizia Boracchi, Irene Poli, 2000 .

Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction

Elia Biganzoli, Patrizia Boracchi, Giuseppe Marano, 2014, CIBB.

Double-blind evaluation and benchmarking of survival models in a multi-centre study

Paulo J. G. Lisboa, M. S. Hane Aung, Patrizia Boracchi, 2007, Comput. Biol. Medicine.

Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients

Patrizia Boracchi, Ettore Marubini, Elia Biganzoli, 2003, Comput. Stat. Data Anal..

Combining Clinical and Omics data: hope or illusion?

Federico Ambrogi, Patrizia Boracchi, 2016 .

Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data

Elia Biganzoli, Patrizia Boracchi, Nicola Lama, 2006, Comput. Stat. Data Anal..

Artificial neural network for the joint modelling of discrete cause-specific hazards

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2006, Artif. Intell. Medicine.

Flexible parametric modelling of the hazard function in breast cancer studies

Paulo J. G. Lisboa, Chris Bajdik, Elia Biganzoli, 2009, The 2010 International Joint Conference on Neural Networks (IJCNN).

Partial logistic relevance vector machines in survival analysis

Elia Biganzoli, Patrizia Boracchi, Nicola Lama, 2011 .

Validation of Gene Expression Profiles in Genomic Data through Complementary Use of Cluster Analysis and PCA-Related Biplots

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2012 .

Flexible Hazard Modelling for Outcome Prediction in Cancer. Perspectives for the Use of Bioinformatics Knowledge.

Elia Biganzoli, Patrizia Boracchi, E. Biganzoli, 2007 .

A Bayesian Neural Network for Competing Risks Models with Covariates

Paulo J. G. Lisboa, Elia Biganzoli, Corneliu T. C. Arsene, 2006 .

Survival Functions in the Presence of Several Events and Competing Risks: Estimation and Interpretation Beyond Kaplan- Meier

Patrizia Boracchi, Annalisa Orenti, P. Boracchi, 2015 .

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination

Paulo J. G. Lisboa, Elia Biganzoli, Corneliu T. C. Arsene, 2009, IEEE Transactions on Neural Networks.

Cancer Profiles by Affinity Propagation

Jonathan M. Garibaldi, Elia Biganzoli, Federico Ambrogi, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Widen NomoGram for multinomial logistic regression: an application to staging liver fibrosis in chronic hepatitis C patients

Patrizia Boracchi, Fabio Piscaglia, Giuseppe Marano, 2017, Statistical methods in medical research.

p53 status identifies two subgroups of triple-negative breast cancers with distinct biological features.

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2011, Japanese journal of clinical oncology.

Epithelial-to-mesenchymal transition, cell polarity and stemness-associated features in malignant pleural mesothelioma.

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2011, Cancer letters.

Behaviour of metastasis in relation to vascular index in patients with node-positive breast cancer treated with adjuvant tamoxifen

Elia Biganzoli, Patrizia Boracchi, Giampietro Gasparini, 2004, Clinical & Experimental Metastasis.

Molecular Subtyping of Breast Cancer from Traditional Tumor Marker Profiles Using Parallel Clustering Methods

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2006, Clinical Cancer Research.

TP53 Mutation, Epithelial-Mesenchymal Transition, and Stemlike Features in Breast Cancer Subtypes

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2012, Journal of biomedicine & biotechnology.

Prediction of cancer outcome with microarrays

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2005, The Lancet.

Ipsilateral breast tumour recurrence (IBTR) dynamics in breast conserving treatments with or without radiotherapy

Elia Biganzoli, Patrizia Boracchi, Ilaria Ardoino, 2010, International journal of radiation biology.

New insights in the pathophysiology of acute myocardial infarction detectable by a contemporary troponin assay.

Elia Biganzoli, Patrizia Boracchi, Mauro Panteghini, 2013, Clinical biochemistry.

A time‐dependent discrimination index for survival data

Elia Biganzoli, Patrizia Boracchi, Laura Antolini, 2005, Statistics in medicine.

Estimates of clinically useful measures in competing risks survival analysis

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi, 2008, Statistics in medicine.

Recurrence and mortality dynamics for breast cancer patients undergoing mastectomy according to estrogen receptor status: Different mortality but similar recurrence

Elia Biganzoli, Patrizia Boracchi, Danila Coradini, 2010, Cancer science.

Clustering breast cancer data by consensus of different validity indices

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2008 .

O-59 Identification of sub-classes of breast cancer through consensus derived from automated clustering methods

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2007 .