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Annalisa Occhipinti

Showing results (1-10 of 24) with videos related to

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Plos Computational Biology|May 16, 2015
Modelling circulating tumour cells for personalised survival prediction in metastatic breast cancerGianluca Ascolani, Annalisa Occhipinti, Pietro Liò
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2022
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast CancerLe Minh Thao Doan, Claudio Angione, Annalisa Occhipinti
Trends in Cell Biology|December 13, 2023
Mechanism-aware and multimodal AI: beyond model-agnostic interpretationAnnalisa Occhipinti, Suraj Verma, Le Minh Thao Doan, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 23, 2022
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic ModelingSupreeta Vijayakumar, Giuseppe Magazzù, Pradip Moon, et al.
Frontiers in Physiology|July 6, 2016
Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational PracticeAntonella Iuliano, Annalisa Occhipinti, Claudia Angelini, et al.
Frontiers in Genetics|July 3, 2018
Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network MethodsAntonella Iuliano, Annalisa Occhipinti, Claudia Angelini, et al.
Computers in Biology and Medicine|October 19, 2025
From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalitiesLe Minh Thao Doan, Suraj Verma, Noushin Eftekhari, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2020
Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer MetabolismAnnalisa Occhipinti, Youssef Hamadi, Hillel Kugler, et al.
Peerj|December 28, 2018
In silico engineering of <i>Pseudomonas</i> metabolism reveals new biomarkers for increased biosurfactant productionAnnalisa Occhipinti, Filmon Eyassu, Thahira J Rahman, et al.
BMC Bioinformatics|December 1, 2018
CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition designAlessio Mancini, Filmon Eyassu, Maxwell Conway, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Plos Computational Biology|May 16, 2015
Modelling circulating tumour cells for personalised survival prediction in metastatic breast cancerGianluca Ascolani, Annalisa Occhipinti, Pietro Liò
Methods in Molecular Biology (Clifton, N.J.)|October 13, 2022
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast CancerLe Minh Thao Doan, Claudio Angione, Annalisa Occhipinti
Trends in Cell Biology|December 13, 2023
Mechanism-aware and multimodal AI: beyond model-agnostic interpretationAnnalisa Occhipinti, Suraj Verma, Le Minh Thao Doan, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 23, 2022
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic ModelingSupreeta Vijayakumar, Giuseppe Magazzù, Pradip Moon, et al.
Frontiers in Physiology|July 6, 2016
Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational PracticeAntonella Iuliano, Annalisa Occhipinti, Claudia Angelini, et al.
Frontiers in Genetics|July 3, 2018
Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network MethodsAntonella Iuliano, Annalisa Occhipinti, Claudia Angelini, et al.
Computers in Biology and Medicine|October 19, 2025
From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalitiesLe Minh Thao Doan, Suraj Verma, Noushin Eftekhari, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2020
Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer MetabolismAnnalisa Occhipinti, Youssef Hamadi, Hillel Kugler, et al.
Peerj|December 28, 2018
In silico engineering of <i>Pseudomonas</i> metabolism reveals new biomarkers for increased biosurfactant productionAnnalisa Occhipinti, Filmon Eyassu, Thahira J Rahman, et al.
BMC Bioinformatics|December 1, 2018
CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition designAlessio Mancini, Filmon Eyassu, Maxwell Conway, et al.
Pageof 3