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Author Details

Marco Chierici
Fondazione Bruno Kessler
2006
36
17
PMIDPaper TitleJournal TitlePublished Year
36114746Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients' noninvolved lung tissue.Cancer Sci2023
36114746Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients' noninvolved lung tissue.Cancer Sci2023
38001537Endoscopy-based IBD identification by a quantized deep learning pipeline.BioData Min2023
36462367Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data.Comput Biol Med2023
38001537Endoscopy-based IBD identification by a quantized deep learning pipeline.BioData Min2023
36462367Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data.Comput Biol Med2023
34763095A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders.J Proteomics2022
36401328Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging.BMC Med Inform Decis Mak2022
35132093Prioritization of putatively detrimental variants in euploid miscarriages.Sci Rep2022
34763095A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders.J Proteomics2022
36401328Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging.BMC Med Inform Decis Mak2022
35132093Prioritization of putatively detrimental variants in euploid miscarriages.Sci Rep2022
33863344Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions.Genome Biol2021
33863366A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency.Genome Biol2021
33863344Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions.Genome Biol2021
33863366A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency.Genome Biol2021
32714870Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling.Front Oncol2020
32054490Predictability of drug-induced liver injury by machine learning.Biol Direct2020
32714870Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling.Front Oncol2020
33239635Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma.Nat Commun2020
32054490Predictability of drug-induced liver injury by machine learning.Biol Direct2020
33239635Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma.Nat Commun2020
30917113Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.PLoS Comput Biol2019
31618839A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning.Cancers (Basel)2019
30917113Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.PLoS Comput Biol2019
31618839A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning.Cancers (Basel)2019
29536822Phylogenetic convolutional neural networks in metagenomics.BMC Bioinformatics2018
30532223Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.PLoS One2018
30628533Machine learning models for predicting endocrine disruption potential of environmental chemicals.J Environ Sci Health C Environ Carcinog Ecotoxicol Rev2018
29615097Multi-omics integration for neuroblastoma clinical endpoint prediction.Biol Direct2018
29536822Phylogenetic convolutional neural networks in metagenomics.BMC Bioinformatics2018
30713803Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors.Oncoimmunology2018
30713803Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors.Oncoimmunology2018
30628533Machine learning models for predicting endocrine disruption potential of environmental chemicals.J Environ Sci Health C Environ Carcinog Ecotoxicol Rev2018
30532223Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.PLoS One2018
29615097Multi-omics integration for neuroblastoma clinical endpoint prediction.Biol Direct2018
28270499PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma.Clin Cancer Res2017
28338656Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2.Cell Death Differ2017
28270499PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma.Clin Cancer Res2017
28338656Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2.Cell Death Differ2017
27725814Monitoring Perinatal Gut Microbiota in Mouse Models by Mass Spectrometry Approaches: Parental Genetic Background and Breastfeeding Effects.Front Microbiol2016
27725814Monitoring Perinatal Gut Microbiota in Mouse Models by Mass Spectrometry Approaches: Parental Genetic Background and Breastfeeding Effects.Front Microbiol2016
26109056Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.Genome Biol2015
26309160Identification of GALNT14 as a novel neuroblastoma predisposition gene.Oncotarget2015
26109056Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.Genome Biol2015
26309160Identification of GALNT14 as a novel neuroblastoma predisposition gene.Oncotarget2015
24670764A promoter-level mammalian expression atlas.Nature2014
24670764A promoter-level mammalian expression atlas.Nature2014
25150839The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.Nat Biotechnol2014
25150839The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.Nat Biotechnol2014
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Collaborators

Cesare Furlanello
Bruno Kessler Foundation
Co-authored papers 27
Giuseppe Jurman
Data Science for Health Research Unit, Bruno Kessler Foundation
Co-authored papers 17
Huixiao Hong
Co-authored papers 7
Kelci Miclaus
Co-authored papers 6
Margherita Francescatto
German Center for Neurodegenerative Diseases
Co-authored papers 6
Weida Tong
National Center for Toxicological Research
Co-authored papers 5
Ming Shi
Co-authored papers 5
Russell D Wolfinger
SAS Institute
Co-authored papers 5
Silvia C Vega
Co-authored papers 5
Christophe G Lambert
University of New Mexico
Co-authored papers 4
Liang Zhang
Co-authored papers 4
Joshua Xu
Co-authored papers 4
Federico Goodsaid
Co-authored papers 4
Davide Albanese
Fondazione Edmund Mach
Co-authored papers 4
Wendell D Jones
Department of Bioinformatics and Clinical Systems
Co-authored papers 3
Danielle Thierry-Mieg
Co-authored papers 3
Zhenqiang Su
Co-authored papers 3
Baitang Ning
Co-authored papers 3
Wenzhong Xiao
Stanford University
Co-authored papers 3
Pierre R Bushel
Co-authored papers 3
Charles Wang
Co-authored papers 3
Wenjun Bao
SAS Institute Inc Cary
Co-authored papers 3
Andreas Scherer
Institute for Molecular Medicine Finland (FIMM), University of Helsinki
Co-authored papers 3
S Yin
Co-authored papers 3
Tieliu Shi
Co-authored papers 3
Jean Thierry-Mieg
Co-authored papers 3
Marco Roncador
Zurich University Hospital
Co-authored papers 2
Zhiguang Li
Co-authored papers 2
Andrea Urbani
National Research Council (CNR)
Co-authored papers 2
Samantha Riccadonna
Co-authored papers 2
Release 1.2