Max Conway
Max Conway
PhD student in Computer Science, University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Multiplex methods provide effective integration of multi-omic data in genome-scale models
C Angione, M Conway, P Liˇ
BMC bioinformatics 17 (4), 257-269, 2016
512016
Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling
S Vijayakumar, M Conway, P Liˇ, C Angione
Briefings in bioinformatics 19 (6), 1218-1235, 2018
312018
ComputaYonal Methods in Systems Biology
L Cardelli, J Despeyroux, R Grosu, J Hillston, E Bartocci, P Li˛, N PaoleZ, ...
182005
Optimization of multi-omic genome-scale models: Methodologies, hands-on tutorial, and perspectives
S Vijayakumar, M Conway, P Liˇ, C Angione
Metabolic Network Reconstruction and Modeling, 389-408, 2018
132018
Iterative multi level calibration of metabolic networks
M Conway, C Angione, P Lio
Current Bioinformatics 11 (1), 93-105, 2016
72016
Transcriptome and proteome analysis of Salmonella enterica serovar Typhimurium systemic infection of wild type and immune-deficient mice
O Oshota, M Conway, M Fookes, F Schreiber, RR Chaudhuri, L Yu, ...
PloS one 12 (8), e0181365, 2017
62017
STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow
I Saggese, E Bona, M Conway, F Favero, M Ladetto, P Li˛, G Manzini, ...
BMC bioinformatics 19 (7), 127-137, 2018
42018
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
Bioinformatics challenges and potentialities in studying extreme environments
C Angione, P Liˇ, S Pucciarelli, B Can, M Conway, M Lotti, H Bokhari, ...
International Meeting on Computational Intelligence Methods forá…, 2015
12015
Machine learning methods for detecting structure in metabolic flow networks
MJ Conway
University of Cambridge, 2020
2020
Machine learning methods for detecting structure in metabolic flow networks
MJ Conway
University of Cambridge, Computer Laboratory, 2020
2020
Bioinformatics Challenges and Potentialities in Studying Extreme Environments
M Conway, M Lotti, H Bokhari, A Mancini, U Sezerman, A Telatin
Computational Intelligence Methods for Bioinformatics and Biostatisticsá…, 2016
2016
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Articles 1–12