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Angela Serra
Angela Serra
Tampere University, Institute of Biomedical Technology
Verified email at tuni.fi - Homepage
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Cited by
Year
Advances in de novo drug design: from conventional to machine learning methods
VD Mouchlis, A Afantitis, A Serra, M Fratello, AG Papadiamantis, V Aidinis, ...
International journal of molecular sciences 22 (4), 1676, 2021
1872021
NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
A Afantitis, G Melagraki, P Isigonis, A Tsoumanis, DD Varsou, ...
Computational and Structural Biotechnology Journal 18, 583-602, 2020
942020
MVDA: a multi-view genomic data integration methodology
A Serra, M Fratello, V Fortino, G Raiconi, R Tagliaferri, D Greco
BMC bioinformatics 16, 1-13, 2015
872015
Cobalt nanoparticles trigger ferroptosis-like cell death (oxytosis) in neuronal cells: potential implications for neurodegenerative disease
G Gupta, A Gliga, J Hedberg, A Serra, D Greco, I Odnevall Wallinder, ...
542020
Transcriptomics in toxicogenomics, part I: experimental design, technologies, publicly available data, and regulatory aspects
PAS Kinaret, A Serra, A Federico, P Kohonen, P Nymark, I Liampa, MK Ha, ...
Nanomaterials 10 (4), 750, 2020
492020
Machine learning for bioinformatics and neuroimaging
A Serra, P Galdi, R Tagliaferri
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1248, 2018
472018
Transcriptomics in toxicogenomics, part III: data modelling for risk assessment
A Serra, M Fratello, L Cattelani, I Liampa, G Melagraki, P Kohonen, ...
Nanomaterials 10 (4), 708, 2020
462020
eUTOPIA: solUTion for Omics data PreprocessIng and Analysis
VS Marwah, G Scala, PAS Kinaret, A Serra, H Alenius, V Fortino, D Greco
Source code for biology and medicine 14 (1), 1, 2019
442019
Transcriptomics in toxicogenomics, part II: preprocessing and differential expression analysis for high quality data
A Federico, A Serra, MK Ha, P Kohonen, JS Choi, I Liampa, P Nymark, ...
Nanomaterials 10 (5), 903, 2020
402020
Can an InChI for nano address the need for a simplified representation of complex nanomaterials across experimental and nanoinformatics studies?
I Lynch, A Afantitis, T Exner, M Himly, V Lobaskin, P Doganis, D Maier, ...
Nanomaterials 10 (12), 2493, 2020
362020
FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments
DG Giovanni Scala, Angela Serra, Veer Singh Marwah, Laura Aliisa Saarimäki
BMC Bioinformatics 20 (1), 79, 2019
36*2019
INSIdE NANO: a systems biology framework to contextualize the mechanism-of-action of engineered nanomaterials
A Serra, I Letunic, V Fortino, RD Handy, B Fadeel, R Tagliaferri, D Greco
Scientific Reports 9, 179, 2019
322019
Representing and describing nanomaterials in predictive nanoinformatics
E Wyrzykowska, A Mikolajczyk, I Lynch, N Jeliazkova, N Kochev, ...
Nature Nanotechnology 17 (9), 924-932, 2022
312022
Robust clustering of noisy high-dimensional gene expression data for patients subtyping
P Coretto, A Serra, R Tagliaferri
Bioinformatics, 2018
302018
Inform: inference of network response modules
VS Marwah, PAS Kinaret, A Serra, G Scala, A Lauerma, V Fortino, ...
Bioinformatics 34 (12), 2136-2138, 2018
302018
Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment
A Pavel, G Del Giudice, A Federico, A Di Lieto, PAS Kinaret, A Serra, ...
Briefings in bioinformatics 22 (2), 1430-1441, 2021
292021
Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data
A Serra, P Coretto, M Fratello, R Tagliaferri
Bioinformatics 34 (4), 625-634, 2018
262018
Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
LA Saarimäki, A Federico, I Lynch, AG Papadiamantis, A Tsoumanis, ...
Scientific data 8 (1), 49, 2021
242021
BMDx: a graphical Shiny application to perform Benchmark Dose analysis for transcriptomics data
DG Angela Serra, Laura Saarimäki, Michele Fratello, Marwah Veer Singh
Bioinformatics, 2020
232020
Phosphorylation of NFATC1 at PIM1 target sites is essential for its ability to promote prostate cancer cell migration and invasion
SK Eerola, NM Santio, S Rinne, P Kouvonen, GL Corthals, M Scaravilli, ...
Cell Communication and Signaling 17, 1-16, 2019
222019
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Articles 1–20