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Investigating differential abundance methods in microbiome data: A benchmark study

PLoS computational biology, 2022-09, Vol.18 (9), p.e1010467-e1010467

2022

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A model to forecast the two-year variation of subjective wellbeing in the elderly population

BMC medical informatics and decision making, 2023-11, Vol.23 (1), p.253-253, Article 253

2023

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Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

BMC bioinformatics, 2012-03, Vol.13 Suppl 4 (Suppl 4), p.S14-S14, Article S14

2012

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A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models

Journal of biomedical informatics, 2020-08, Vol.108, p.103496-103496, Article 103496

2020

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Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims

Scientific reports, 2022-05, Vol.12 (1), p.7762-7762, Article 7762

2022

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Measuring the diversity of the human microbiota with targeted next-generation sequencing

Briefings in bioinformatics, 2018-07, Vol.19 (4), p.679-692

2018

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How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives

Briefings in bioinformatics, 2019-07, Vol.20 (4), p.1384-1394

2019

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Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods

Frontiers in genetics, 2017-05, Vol.8, p.62

2017

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Early origins of adult disease: Low birth weight and vascular remodeling

Atherosclerosis, 2014-12, Vol.237 (2), p.391-399

2014

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Simulation-based comprehensive benchmarking of RNA-seq aligners

Nature methods, 2017-02, Vol.14 (2), p.135

2017

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Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results

BMC bioinformatics, 2022-02, Vol.22 (Suppl 15), p.618-33, Article 618

2022

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A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population

Scientific reports, 2024-05, Vol.14 (1), p.11514-11514, Article 11514

2024

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Exposure to dipeptidyl‐peptidase‐4 inhibitors and COVID‐19 among people with type 2 diabetes: A case‐control study

Diabetes, obesity & metabolism, 2020-10, Vol.22 (10), p.1946-1950

2020

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Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease

Gigascience, 2022-12, Vol.12

2022

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A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes

15th Conference on Artificial Intelligence in Medicine (AIME),Univ Pavia, Pavia, Italy,2015-06-17 - 2015-06-20, 2015, Vol.9105, p.172-176

2015

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metaSPARSim: a 16S rRNA gene sequencing count data simulator

BMC bioinformatics, 2019-11, Vol.20 (Suppl 9), p.416-416, Article 416

2019

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Comparison of microbiome samples: methods and computational challenges

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.88-95

2021

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A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression

BMC bioinformatics, 2019-04, Vol.20 (Suppl 4), p.118-118, Article 118

2019

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Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities

IEEE journal of biomedical and health informatics, 2020-11, Vol.24 (11), p.3041-3043

2020

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IEEE_Xplore

Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

Proceedings of the National Academy of Sciences - PNAS, 2014-09, Vol.111 (38), p.13924-13929

2014

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Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells

PLoS pathogens, 2018-01, Vol.14 (1), p.e1006790-e1006790

2018

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A Variable Ranking Method for Machine Learning Models with Correlated Features: In-Silico Validation and Application for Diabetes Prediction

Applied sciences, 2021-08, Vol.11 (16), p.7740

2021

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Deep learning methods to predict amyotrophic lateral sclerosis disease progression

Scientific reports, 2022-08, Vol.12 (1), p.13738-13738, Article 13738

2022

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Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene

BMC bioinformatics, 2018-09, Vol.19 (1), p.343-343, Article 343

2018

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Investigating differential abundance methods in microbiome data: A benchmark study

A model to forecast the two-year variation of subjective wellbeing in the elderly population

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models

Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims

Measuring the diversity of the human microbiota with targeted next-generation sequencing

Nilotinib interferes with cell cycle, ABC transporters and JAK-STAT signaling pathway in CD34+/lin- cells of patients with chronic phase chronic myeloid leukemia after 12 months of treatment

How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives

Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods

Early origins of adult disease: Low birth weight and vascular remodeling

Simulation-based comprehensive benchmarking of RNA-seq aligners

Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results

A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population

Exposure to dipeptidyl‐peptidase‐4 inhibitors and COVID‐19 among people with type 2 diabetes: A case‐control study

Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease

A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes

metaSPARSim: a 16S rRNA gene sequencing count data simulator

Comparison of microbiome samples: methods and computational challenges

A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression

Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities

Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells

A Variable Ranking Method for Machine Learning Models with Correlated Features: In-Silico Validation and Application for Diabetes Prediction

Deep learning methods to predict amyotrophic lateral sclerosis disease progression

Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene

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