Klev Diamanti

Nyckelord

• bioinformatics
• complex data analysis
• data science
• machine learning
• multi-omics

Publikationer

Urval av publikationer

• Integrating multi-omics for type 2 diabetes (2019)
• Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes (2019)
• Maps of context-dependent putative regulatory regions and genomic signal interactions (2016)
• A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers (2016)

Senaste publikationer

• Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues (2022)
• Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment (2022)
• Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data (2022)
• The Thioesterase ACOT1 as a Regulator of Lipid Metabolism in Type 2 Diabetes Detected in a Multi-Omics Study of Human Liver (2021)
• Single nucleus transcriptomics data integration recapitulates the major cell types in human liver (2021)

Alla publikationer

Artiklar

• Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues (2022)
• Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment (2022)
• Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data (2022)
• The Thioesterase ACOT1 as a Regulator of Lipid Metabolism in Type 2 Diabetes Detected in a Multi-Omics Study of Human Liver (2021)
• Single nucleus transcriptomics data integration recapitulates the major cell types in human liver (2021)
• R.ROSETTA (2021)
• Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder (2021)
• Nucleolar rDNA folds into condensed foci with a specific combination of epigenetic marks (2021)
• Multifaceted regulation of hepatic lipid metabolism by YY1 (2021)
• Mapping chromatin accessibility and active regulatory elements reveals pathological mechanisms in human gliomas (2021)
• MetaFetcheR (2021)
• Pan-cancer analysis of whole genomes (2020)
• Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis (2020)
• A Multi-Omics Approach to Liver Diseases (2020)
• Integration of whole-body [¹⁸F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes (2020)
• Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (2020)
• Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes (2019)
• Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival (2018)
• Maps of context-dependent putative regulatory regions and genomic signal interactions (2016)
• A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers (2016)
• Single Nuclei Transcriptome Analysis of Human Liver with Integration of Proteomics and Capture Hi-C Bulk Tissue Data
• Integration of whole-body PET/MRI with non-targeted metabolomics provides new insights into insulin sensitivity of various tissues
• VisuNet: an interactive tool for rule network visualization of rule-based learning models

Böcker

• Integrating multi-omics for type 2 diabetes (2019)

Kapitel

• Discovering Networks of Interdependent Features in High-Dimensional Problems (2016)

Dataset

• SUPPLEMENTARY MATERIAL: Machine learning-based analysis of glioma grades reveals co-enrichment (2021)
• SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models (2021)
• Supplementary material: Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data (2021)
• Supplementary tables:MetaFetcheR: An R package for complete mapping of small compound data (2021)