Publications

Manuela Salvucci*, Zaitun Zakaria*, Steven Carberry, Amanda Tivnan, Volker Seifert, Donat Kögel, Brona M. Murphy, and Jochen H.M. Prehn
June 2020 prognostic biomarker, survival analysis, cox regression models, statistics, modelling, matlab, R
System-based Approaches as Prognostic Tools for Glioblastoma

System-based Approaches as Prognostic Tools for Glioblastoma

PDF Code Dataset Project DOI
Nyree Crawford, Manuela Salvucci, Christian T Hellwig, Frank A Lincoln, Ruth E Mooney, Carla L O'Connor, Jochen HM Prehn, Daniel B Longley, Markus Rehm
June 2020 data cleaning, data exploration, statistics, modelling, matlab
Simulating and predicting cellular and in vivo responses of colon cancer to combined treatment with chemotherapy and IAP antagonist Birinapant/TL32711

Simulating and predicting cellular and in vivo responses of colon cancer to combined treatment with chemotherapy and IAP antagonist Birinapant/TL32711

PDF Code Dataset Project DOI
Manuela Salvucci, Arman Rahman, Alexa Resler, Girish Mallya Udupi, Deborah A. McNamara, Elaine W. Kay, Pierre Laurent-Puig, Daniel B. Longley, Patrick G. Johnston, Mark Lawler, Richard Wilson, Manuel Salto-Tellez, Sandra Van Schaeybroeck, Mairin Rafferty, William Gallagher, Markus Rehm, and Jochen H. M. Prehn
June 2020 Translating network biomarkers into the clinic machine learning, prognostic biomarker, survival analysis, statistics, modelling, matlab, R
A machine learning platform to optimize the translation of personalized network models to the clinic

A machine learning platform to optimize the translation of personalized network models to the clinic

PDF Code Dataset Project DOI
Gavin Fullstone, Tabea L. Bauer, Cristiano Guttà, Manuela Salvucci, Jochen H. M. Prehn, Markus Rehm
April 2020 prognostic biomarker, survival analysis, statistics, modelling, matlab
The apoptosome molecular timer synergises with XIAP to suppress apoptosis execution and contributes to prognosticating survival in colorectal cancer

The apoptosome molecular timer synergises with XIAP to suppress apoptosis execution and contributes to prognosticating survival in colorectal cancer

PDF DOI
Manuela Salvucci, Maximilian L. Würstle, Clare Morgan, Sarah Curry, Mattia Cremona, Andreas U. Lindner, Orna Bacon, Alexa J. Resler, Áine C. Murphy, Robert O'Byrne, Lorna Flanagan, Sonali Dasgupta, Nadege Rice, Camilla Pilati, Elisabeth Zink, Lisa M. Schöller, Sinead Toomey, Mark Lawler, Patrick G. Johnston, Richard Wilson, Sophie Camilleri-Broët, Manuel Salto-Tellez, Deborah A. McNamara, Elaine W. Kay, Pierre Laurent-Puig, Sandra Van Schaeybroeck, Bryan T. Hennessy, Daniel B. Longley, Markus Rehm and Jochen H.M. Prehn
March 2017 machine learning, classification random forest, prognostic biomarker, survival analysis, statistics, modelling, matlab, R
A stepwise integrated approach to personalized risk predictions in stage III colorectal cancer

A stepwise integrated approach to personalized risk predictions in stage III colorectal cancer

PDF DOI
Andreas U Lindner, Manuela Salvucci, Clare Morgan, Naser Monsefi, Alexa J Resler, Mattia Cremona, Sarah Curry, Sinead Toomey, Robert O’Byrne, Orna Bacon, Michael Stühler, Lorna Flanagan, Richard Wilson, Patrick G Johnston, Manuel Salto-Tellez, Sophie Camilleri-Broët, Deborah A McNamara, Elaine W Kay, Bryan T Hennessy, Pierre Laurent-Puig, Sandra Van Schaeybroeck, Jochen H M Prehn
September 2016 prognostic biomarker, survival analysis, statistics, modelling, matlab, R
BCL-2 system analysis identifies high risk colorectal cancer patients

BCL-2 system analysis identifies high risk colorectal cancer patients

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