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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 Lió
BMC bioinformatics 17, 257-269, 2016
612016
Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling
S Vijayakumar, M Conway, P Lió, C Angione
Briefings in bioinformatics 19 (6), 1218-1235, 2018
512018
Optimization of multi-omic genome-scale models: Methodologies, hands-on tutorial, and perspectives
S Vijayakumar, M Conway, P Lió, C Angione
Metabolic Network Reconstruction and Modeling: Methods and Protocols, 389-408, 2018
222018
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
112017
Iterative multi level calibration of metabolic networks
M Conway, C Angione, P Lio
Current Bioinformatics 11 (1), 93-105, 2016
82016
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 Liò, G Manzini, ...
BMC bioinformatics 19, 127-137, 2018
72018
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 Liò, C Angione, ...
BMC bioinformatics 19, 123-130, 2018
32018
Bioinformatics challenges and potentialities in studying extreme environments
C Angione, P Lió, S Pucciarelli, B Can, M Conway, M Lotti, H Bokhari, ...
Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2016
12016
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
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