受强制性开放获取政策约束的文章 - Alex Graudenzi了解详情
无法在其他位置公开访问的文章：6 篇
A review of computational strategies for denoising and imputation of single-cell transcriptomic data
L Patruno, D Maspero, F Craighero, F Angaroni, M Antoniotti, A Graudenzi
Briefings in bioinformatics 22 (4), bbaa222, 2021
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
Journal of Computational Science 58, 101523, 2022
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems
L Patruno, F Craighero, D Maspero, A Graudenzi, C Damiani
Information and Computation 281, 104798, 2021
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
The detection of dynamical organization in cancer evolution models
L Sani, G D’Addese, A Graudenzi, M Villani
Artificial Life and Evolutionary Computation: 14th Italian Workshop, WIVACE …, 2020
强制性开放获取政策： Government of Italy
A closed-loop optimization framework for personalized cancer therapy design
F Angaroni, M Pennati, L Patruno, D Maspero, M Antoniotti, A Graudenzi
2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data
D Maspero, F Angaroni, L Patruno, D Ramazzotti, D Posada, A Graudenzi
Italian Workshop on Artificial Life and Evolutionary Computation, 70-81, 2022
强制性开放获取政策： Cancer Research UK, AIRC Foundation for Cancer Research in Italy
可在其他位置公开访问的文章：43 篇
CAPRI: efficient inference of cancer progression models from cross-sectional data
D Ramazzotti, G Caravagna, L Olde Loohuis, A Graudenzi, I Korsunsky, ...
Bioinformatics 31 (18), 3016-3026, 2015
强制性开放获取政策： Government of Italy
Algorithmic methods to infer the evolutionary trajectories in cancer progression
G Caravagna, A Graudenzi, D Ramazzotti, R Sanz-Pamplona, L De Sano, ...
Proceedings of the National Academy of Sciences 113 (28), E4025-E4034, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Government …
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
C Damiani, D Maspero, M Di Filippo, R Colombo, D Pescini, A Graudenzi, ...
PLoS computational biology 15 (2), e1006733, 2019
强制性开放获取政策： Government of Italy
Inferring tree causal models of cancer progression with probability raising
LO Loohuis, G Caravagna, A Graudenzi, D Ramazzotti, G Mauri, ...
PloS one 9 (10), e108358, 2014
强制性开放获取政策： Government of Italy
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity
A Graudenzi, D Maspero, F Angaroni, R Piazza, D Ramazzotti
Iscience 24 (2), 2021
强制性开放获取政策： Government of Italy, AIRC Foundation for Cancer Research in Italy
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data
L De Sano, G Caravagna, D Ramazzotti, A Graudenzi, G Mauri, B Mishra, ...
Bioinformatics 32 (12), 1911-1913, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Government …
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
D Ramazzotti, A Graudenzi, L De Sano, M Antoniotti, G Caravagna
BMC bioinformatics 20, 1-13, 2019
强制性开放获取政策： Government of Italy
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power
A Graudenzi, D Maspero, M Di Filippo, M Gnugnoli, C Isella, G Mauri, ...
Journal of biomedical informatics 87, 37-49, 2018
强制性开放获取政策： Government of Italy
Growth and division in a dynamic protocell model
M Villani, A Filisetti, A Graudenzi, C Damiani, T Carletti, R Serra
Life 4 (4), 837-864, 2014
强制性开放获取政策： European Commission
VERSO: a comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples
D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ...
Patterns 2 (3), 2021
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
Pathway-based classification of breast cancer subtypes
A Graudenzi, C Cava, G Bertoli, B Fromm, K Flatmark, G Mauri, ...
Front Biosci 22 (10), 1697-1712, 2017
强制性开放获取政策： Government of Italy
Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution
D Ramazzotti, F Angaroni, D Maspero, M Mauri, D D’Aliberti, D Fontana, ...
Virus evolution 8 (1), veac026, 2022
强制性开放获取政策： Government of Italy
Modeling cumulative biological phenomena with suppes-bayes causal networks
D Ramazzotti, A Graudenzi, G Caravagna, M Antoniotti
Evolutionary Bioinformatics 14, 1176934318785167, 2018
强制性开放获取政策： Government of Italy
An optimal control framework for the automated design of personalized cancer treatments
F Angaroni, A Graudenzi, M Rossignolo, D Maspero, T Calarco, R Piazza, ...
Frontiers in Bioengineering and Biotechnology 8, 523, 2020
强制性开放获取政策： Cancer Research UK, Government of Italy, AIRC Foundation for Cancer Research …
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