Lista de obras - Ioannis Tsamardinos - Dominio Público Uruguay

'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial

artículo científico publicado en 2019

A Unified Approach for Sparse Dynamical System Inference from Temporal Measurements

artículo científico publicado en 2019

A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study

artículo científico publicado en 2018

A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions

artículo científico publicado en 2016

A comparison of Bayesian network learning algorithms from continuous data.

artículo científico publicado en 2005

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.

artículo científico publicado en 2004

A data driven approach reveals disease similarity on a molecular level

artículo científico publicado en 2019

A greedy feature selection algorithm for Big Data of high dimensionality

artículo científico publicado en 2018

A novel algorithm for scalable and accurate Bayesian network learning

artículo científico publicado en 2004

A systematic review of predictive risk models for diabetes complications based on large scale clinical studies ⬇️

artículo científico publicado el 27 de diciembre de 2012

A vision and strategy for the virtual physiological human in 2010 and beyond.

artículo científico publicado en 2010

A vision and strategy for the virtual physiological human: 2012 update.

artículo científico publicado en 2013

Accurate Blood-Based Diagnostic Biosignatures for Alzheimer's Disease via Automated Machine Learning

scientific article published on 18 September 2020

Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning

scientific article published on 22 July 2020

BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology

artículo científico publicado en 2018

Biomarker signature identification in "omics" data with multi-class outcome

artículo científico publicado en 2013

Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation

Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization

scientific article published on 06 November 2019

Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective.

artículo científico publicado en 2006

Circulating cell-free DNA in breast cancer: size profiling, levels, and methylation patterns lead to prognostic and predictive classifiers

artículo científico publicado en 2019

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression

artículo científico publicado en 2019

Constraint-based causal discovery with mixed data

artículo científico publicado en 2018

Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data

artículo científico publicado en 2015

Don't use a cannon to kill the ... miRNA mosquito

artículo científico publicado en 2014

Erratum to: A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions

artículo científico publicado en 2016

Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway

scientific article published on 19 October 2016

Factors influencing the statistical power of complex data analysis protocols for molecular signature development from microarray data

artículo científico publicado en 2009

Feature selection for high-dimensional temporal data.

artículo científico publicado en 2018

Feature selection with the R package MXM

scientific article published on 20 September 2018

Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation

article

GATA-1 genome-wide occupancy associates with distinct epigenetic profiles in mouse fetal liver erythropoiesis ⬇️

artículo científico publicado el 21 de marzo de 2013

GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data

artículo científico publicado en 2005

Hidden treasures in "ancient" microarrays: gene-expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal tissue

artículo científico

Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative Study

artículo científico publicado en 2020

Learning biologically-interpretable latent representations for gene expression data

artículo científico publicado en 2022

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors

artículo científico publicado en 2010

MatureP: prediction of secreted proteins with exclusive information from their mature regions.

artículo científico publicado en 2017

Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development.

artículo científico publicado en 2004

MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology

artículo científico publicado en 2015

Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients

scientific article published on 19 August 2019

Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells

artículo científico publicado en 2017

Realization of a service for the long-term risk assessment of diabetes-related complications

artículo científico publicado en 2015

SCENERY: a web application for (causal) network reconstruction from cytometry data.

artículo científico publicado en 2017

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

artículo científico publicado en 2019

Structural Basis of the Subcellular Topology Landscape of Escherichia coli

artículo científico publicado en 2019

Structure-based variable selection for survival data

artículo científico publicado en 2010

T-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes

artículo científico publicado en 2015

Text categorization models for high-quality article retrieval in internal medicine

artículo científico publicado en 2004

The max-min hill-climbing Bayesian network structure learning algorithm

The morphological classification of heartbeats as dominant and non-dominant in ECG signals

artículo científico publicado en 2010

The γ-OMP algorithm for feature selection with application to gene expression data

artículo científico publicado en 2020

Toward Automatic Risk Assessment to Support Suicide Prevention

artículo científico publicado en 2018

Translating vitamin D transcriptomics to clinical evidence: Analysis of data in asthma and chronic obstructive pulmonary disease, followed by clinical data meta-analysis

artículo científico publicado en 2019

Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognition

omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data

artículo científico publicado en 2016

Lista de obras de Ioannis Tsamardinos

'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial

A Unified Approach for Sparse Dynamical System Inference from Temporal Measurements

A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study

A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions

A comparison of Bayesian network learning algorithms from continuous data.

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.

A data driven approach reveals disease similarity on a molecular level

A greedy feature selection algorithm for Big Data of high dimensionality

A novel algorithm for scalable and accurate Bayesian network learning

A systematic review of predictive risk models for diabetes complications based on large scale clinical studies ⬇️

A vision and strategy for the virtual physiological human in 2010 and beyond.

A vision and strategy for the virtual physiological human: 2012 update.

Accurate Blood-Based Diagnostic Biosignatures for Alzheimer's Disease via Automated Machine Learning

Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning

BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology

Biomarker signature identification in "omics" data with multi-class outcome

Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation

Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization

Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective.

Circulating cell-free DNA in breast cancer: size profiling, levels, and methylation patterns lead to prognostic and predictive classifiers

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression

Constraint-based causal discovery with mixed data

Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data

Don't use a cannon to kill the ... miRNA mosquito

Erratum to: A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions

Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway

Factors influencing the statistical power of complex data analysis protocols for molecular signature development from microarray data

Feature selection for high-dimensional temporal data.

Feature selection with the R package MXM

Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation

GATA-1 genome-wide occupancy associates with distinct epigenetic profiles in mouse fetal liver erythropoiesis ⬇️

GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data

Hidden treasures in "ancient" microarrays: gene-expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal tissue

Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative Study

Learning biologically-interpretable latent representations for gene expression data

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors

MatureP: prediction of secreted proteins with exclusive information from their mature regions.

Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development.

MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology

Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients

Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells

Realization of a service for the long-term risk assessment of diabetes-related complications

SCENERY: a web application for (causal) network reconstruction from cytometry data.

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

Structural Basis of the Subcellular Topology Landscape of Escherichia coli

Structure-based variable selection for survival data

T-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes

Text categorization models for high-quality article retrieval in internal medicine

The max-min hill-climbing Bayesian network structure learning algorithm

The morphological classification of heartbeats as dominant and non-dominant in ECG signals

The γ-OMP algorithm for feature selection with application to gene expression data

Toward Automatic Risk Assessment to Support Suicide Prevention

Translating vitamin D transcriptomics to clinical evidence: Analysis of data in asthma and chronic obstructive pulmonary disease, followed by clinical data meta-analysis

Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognition

omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data