Edoardo Saccenti

About Edoardo Saccenti

Edoardo Saccenti, With an exceptional h-index of 36 and a recent h-index of 32 (since 2020), a distinguished researcher at Wageningen Universiteit, specializes in the field of Statistical methods and Mathematical modelling in Systems Biology and Systems Health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping

Exploring RNA-seq data normalization methods using principal component analysis and KEGG pathway enrichment

A gentle introduction to principal component analysis using tea‐pots, dinosaurs, and pizza

Discrimination of Lipogenic or Glucogenic Diet Effects in Early-Lactation Dairy Cows Using Plasma Metabolite Abundances and Ratios in Combination with Machine Learning

Network analysis of the proteome and peptidome sheds light on human milk as a biological system

Author Correction: Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates

Analysis and Interpretation of Metabolite Associations Using Correlations

Edoardo Saccenti Information

University

Position

___

Citations(all)

5355

Citations(since 2020)

4109

Cited By

2557

hIndex(all)

36

hIndex(since 2020)

32

i10Index(all)

71

i10Index(since 2020)

62

Email

University Profile Page

Google Scholar

Edoardo Saccenti Skills & Research Interests

Statistical methods and Mathematical modelling in Systems Biology and Systems Health

Top articles of Edoardo Saccenti

Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping

bioRxiv

2024/2/8

Exploring RNA-seq data normalization methods using principal component analysis and KEGG pathway enrichment

2024/1/18

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

A gentle introduction to principal component analysis using tea‐pots, dinosaurs, and pizza

Teaching Statistics

2024/1

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Discrimination of Lipogenic or Glucogenic Diet Effects in Early-Lactation Dairy Cows Using Plasma Metabolite Abundances and Ratios in Combination with Machine Learning

Metabolites

2024/4/17

Ariette Van Knegsel
Ariette Van Knegsel

H-Index: 23

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Network analysis of the proteome and peptidome sheds light on human milk as a biological system

Scientific Reports

2024/3/30

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Author Correction: Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models

Scientific Reports

2023/12/20

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates

Journal of Cellular Biochemistry

2023/11

Marco Anteghini
Marco Anteghini

H-Index: 1

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Analysis and Interpretation of Metabolite Associations Using Correlations

2023/10/25

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

The human milk proteome and allergy of mother and child: exploring associations with protein abundances and protein network connectivity (vol 13, 977470, 2022)

Frontiers in Immunology

2022/10/13

Padmaja Subbarao
Padmaja Subbarao

H-Index: 41

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Corrigendum: The human milk proteome and allergy of mother and child: exploring associations with protein abundances and protein network connectivity

Frontiers in Immunology

2023/9/18

Padmaja Subbarao
Padmaja Subbarao

H-Index: 41

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Energy balance clusters in relation to metabolic and inflammatory status and disease in dairy cows

2023/8/28

Classifying lipogenic and glucogenic diets in dairy cows based on metabolomics profiles

2023/8/28

mEthAE: an Explainable AutoEncoder for methylation data

bioRxiv

2023/7/19

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Gennady V Roshchupkin
Gennady V Roshchupkin

H-Index: 12

Systemic immune activation profiles in streptococcal necrotizing soft tissue infections: A prospective multicenter study

Clinical Immunology

2023/4/1

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Education in systems biology 2022

2023/3/13

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Exploration of Blood Metabolite Signatures of Colorectal Cancer and Polyposis through Integrated Statistical and Network Analysis

Metabolites

2023/2/17

What can go wrong when observations are not independently and identically distributed: A cautionary note on calculating correlations on combined data sets from different …

Frontiers in Systems Biology

2023/1/30

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

P-PPI: accurate prediction of peroxisomal protein-protein interactions (P-PPI) using deep learning-based protein sequence embeddings

bioRxiv

2023

Marco Anteghini
Marco Anteghini

H-Index: 1

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

Using decision tree algorithms to classify diet, dry period length and lactation weeks in dairy cows

2023

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection

Computational and Structural Biotechnology Journal

2023/1/1

Marco Anteghini
Marco Anteghini

H-Index: 1

Edoardo Saccenti
Edoardo Saccenti

H-Index: 24

See List of Professors in Edoardo Saccenti University(Wageningen Universiteit)

Co-Authors

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