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Annalisa Occhipinti
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Year
Modelling circulating tumour cells for personalised survival prediction in metastatic breast cancer
G Ascolani, A Occhipinti, P Li˛
PLoS computational biology 11 (5), e1004199, 2015
182015
Cancer markers selection using network-based cox regression: a methodological and computational practice
A Iuliano, A Occhipinti, C Angelini, I De Feis, P Liˇ
Frontiers in physiology 7, 208, 2016
152016
In silico engineering of Pseudomonas metabolism reveals new biomarkers for increased biosurfactant production
A Occhipinti, F Eyassu, TJ Rahman, PKSM Rahman, C Angione
PeerJ 6, e6046, 2018
132018
Combining pathway identification and breast cancer survival prediction via screening-network methods
A Iuliano, A Occhipinti, C Angelini, I De Feis, P Li˛
Frontiers in genetics 9, 206, 2018
132018
Discovering essential multiple gene effects through large scale optimization: an application to human cancer metabolism
A Occhipinti, Y Hamadi, H Kugler, CM Wintersteiger, B Yordanov, ...
IEEE/ACM transactions on computational biology and bioinformatics 18 (6á…, 2020
122020
A pipeline and comparative study of 12 machine learning models for text classification
A Occhipinti, L Rogers, C Angione
Expert Systems with Applications 201, 117193, 2022
62022
Cosmonet: An r package for survival analysis using screening-network methods
A Iuliano, A Occhipinti, C Angelini, I De Feis, P Li˛
Mathematics 9 (24), 3262, 2021
42021
Loss of full-length dystrophin expression results in major cell-autonomous abnormalities in proliferating myoblasts
MRF Gosselin, V Mournetas, M Borczyk, S Verma, A Occhipinti, J Rˇg, ...
Elife 11, e75521, 2022
32022
CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
A Mancini, F Eyassu, M Conway, A Occhipinti, P Li˛, C Angione, ...
BMC bioinformatics 19 (15), 123-130, 2018
32018
Applications of network-based survival analysis methods for pathways detection in cancer
A Iuliano, A Occhipinti, C Angelini, ID Feis, P Liˇ
International Meeting on Computational Intelligence Methods forá…, 2014
32014
Bose–Einstein condensation in satisfiability problems
C Angione, A Occhipinti, G Stracquadanio, G Nicosia
European Journal of Operational Research 227 (1), 44-54, 2013
32013
Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions
C Angione, A Occhipinti, G Nicosia
Journal of Experimental Algorithmics (JEA) 19, 1.4, 2014
12014
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer
LMT Doan, C Angione, A Occhipinti
Computational Biology and Machine Learning for Metabolic Engineering andá…, 2023
2023
Environmental measurements and genetic effects for cancer survival integration data
A Iuliano, A Occhipinti
2022 IEEE International Workshop on Metrology for Living Environmentá…, 2022
2022
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling
S Vijayakumar, G Magazz¨, P Moon, A Occhipinti, C Angione
Computational Systems Biology in Medicine and Biotechnology, 87-122, 2022
2022
A Computational Model of Cancer Metabolism for Personalised Medicine
A Occhipinti, C Angione
Building Bridges in Medical Science 2021, 2021
2021
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer
CA Le Minh Thao Doan, A Occhipinti
Springer Nature, 0
Maxwell-Boltzmann and Bose-Einstein Distributions for the SAT Problem
C Angione, A Occhipinti, G Nicosia
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Articles 1–18