Lista de obras - Giuseppe Jurman - Dominio Público Uruguay

A Machine Learning Pipeline for Discriminant Pathways Identification

scholarly article by Annalisa Barla et al published 2012 in Lecture Notes in Computer Science

A combinatorial model of malware diffusion via bluetooth connections

artículo científico publicado en 2013

A comparison of MCC and CEN error measures in multi-class prediction

artículo científico publicado en 2012

A family of simple Lie algebras in characteristic two

scholarly article by Giuseppe Jurman published January 2004 in Journal of Algebra

A grid environment for high-throughput proteomics

artículo científico

A machine learning pipeline for quantitative phenotype prediction from genotype data ⬇️

artículo científico publicado el 26 de octubre de 2010

A null model for Pearson coexpression networks

artículo científico publicado en 2015

A null model for Pearson coexpression networks

A promoter-level mammalian expression atlas

artículo científico publicado en 2014

Algebraic comparison of partial lists in bioinformatics

artículo científico publicado en 2012

Algebraic stability indicators for ranked lists in molecular profiling

artículo científico publicado en 2007

An accelerated procedure for recursive feature ranking on microarray data.

artículo científico publicado en 2003

CIDER: a pipeline for detecting waves of coordinated transcriptional regulation in gene expression time-course data

article

Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma

scientific article published on 25 November 2020

Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

artículo científico publicado en 2012

Combining feature selection and DTW for time-varying functional genomics

DTW-MIC Coexpression Networks from Time-Course Data

artículo científico publicado en 2016

Differential Network Analysis and Graph Classification: A Glocal Approach

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

scientific article published in PLoS ONE

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment

artículo científico publicado en 2012

Efficient randomization of biological networks while preserving functional characterization of individual nodes

Entropy-based gene ranking without selection bias for the predictive classification of microarray data

artículo científico publicado en 2003

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

scholarly article published 6 June 2018

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

scientific article published on 27 March 2019

Fast randomization of large genomic datasets while preserving alteration counts

artículo científico publicado en 2014

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

artículo científico publicado en 2010

Gene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminatesPAX3-FKHR positive and negative tumors

article

Graded Lie algebras of maximal class, III

scholarly article by Giuseppe Jurman published February 2005 in Journal of Algebra

Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation

Integrating gene expression profiling and clinical data

article

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs

scholarly article by Stefano Merler et al published 2005 in Lecture Notes in Computer Science

Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

scientific article published on 03 February 2020

Machine learning methods for predictive proteomics

artículo científico publicado en 2008

Metric projection for dynamic multiplex networks

artículo científico publicado en 2016

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

artículo científico publicado en 2012

Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells

artículo científico publicado en 2015

Proteome Profiling without Selection Bias

article

ReNette: a web-infrastructure for reproducible network analysis

RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks

artículo científico publicado en 2011

Repeatability of published microarray gene expression analyses

artículo científico publicado en 2009

Semisupervised Profiling of Gene Expressions and Clinical Data

article

Semisupervised learning for molecular profiling

artículo científico publicado en 2005

Stability indicators in network reconstruction

artículo científico publicado en 2014

Strategies for containing an influenza pandemic: the case of Italy

article

Survival prediction of patients with sepsis from age, sex, and septic episode number alone

scientific article published on 13 October 2020

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

scientific article published on 13 July 2020

THE STRUCTURE OF THIN LIE ALGEBRAS WITH CHARACTERISTIC TWO

scholarly article by MARINA AVITABILE et al published September 2010 in International Journal of Algebra and Computation

Terminated Ramp-Support vector machines: a nonparametric data dependent kernel

artículo científico publicado en 2006

The HIM glocal metric and kernel for network comparison and classification

article

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

artículo científico publicado en 2010

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

artículo científico publicado en 2020

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

artículo científico publicado en 2014

Lista de obras de Giuseppe Jurman

A Machine Learning Pipeline for Discriminant Pathways Identification

A combinatorial model of malware diffusion via bluetooth connections

A comparison of MCC and CEN error measures in multi-class prediction

A family of simple Lie algebras in characteristic two

A grid environment for high-throughput proteomics

A machine learning pipeline for quantitative phenotype prediction from genotype data ⬇️

A null model for Pearson coexpression networks

A null model for Pearson coexpression networks

A promoter-level mammalian expression atlas

Algebraic comparison of partial lists in bioinformatics

Algebraic stability indicators for ranked lists in molecular profiling

An accelerated procedure for recursive feature ranking on microarray data.

CIDER: a pipeline for detecting waves of coordinated transcriptional regulation in gene expression time-course data

Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma

Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

Combining feature selection and DTW for time-varying functional genomics

DTW-MIC Coexpression Networks from Time-Course Data

Differential Network Analysis and Graph Classification: A Glocal Approach

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment

Efficient randomization of biological networks while preserving functional characterization of individual nodes

Entropy-based gene ranking without selection bias for the predictive classification of microarray data

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Fast randomization of large genomic datasets while preserving alteration counts

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

Gene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminatesPAX3-FKHR positive and negative tumors

Graded Lie algebras of maximal class, III

Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation

Integrating gene expression profiling and clinical data

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs

Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Machine learning methods for predictive proteomics

Metric projection for dynamic multiplex networks

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells

Proteome Profiling without Selection Bias

ReNette: a web-infrastructure for reproducible network analysis

RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks

Repeatability of published microarray gene expression analyses

Semisupervised Profiling of Gene Expressions and Clinical Data

Semisupervised learning for molecular profiling

Stability indicators in network reconstruction

Strategies for containing an influenza pandemic: the case of Italy

Survival prediction of patients with sepsis from age, sex, and septic episode number alone

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

THE STRUCTURE OF THIN LIE ALGEBRAS WITH CHARACTERISTIC TWO

Terminated Ramp-Support vector machines: a nonparametric data dependent kernel

The HIM glocal metric and kernel for network comparison and classification

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance