Klev Diamanti
Researcher at Institutionen för immunologi, genetik och patologi; Forskningsprogram: Genomik och Neurobiologi; Forskargrupp Claes Wadelius
- E-mail:
- klev.diamanti@igp.uu.se
- Visiting address:
- BMC
Husargatan 3
751 22 Uppsala - Postal address:
- Box 815
751 08 Uppsala
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Keywords
- bioinformatics
- complex data analysis
- data science
- machine learning
- multi-omics
Publications
Selection of publications
- 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)
Recent publications
- 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)
All publications
Articles
- 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
Books
Chapters
Data sets
- 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)