Alina Selega

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Guido SanguinettiReader in Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Sander GrannemanMRC Senior Research Fellow and Group leader at SynthSys, University of EdinburghVerified email at staffmail.ed.ac.uk
Christel SirocchiPhD student, University of UrbinoVerified email at campus.uniurb.it
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyVerified email at dundee.ac.uk
Kieran R CampbellTorontoVerified email at lunenfeld.ca
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Yulia RubanovaDeepmindVerified email at google.com
Cait HarriganUniversity of TorontoVerified email at mail.utoronto.ca
Hartland Warren JacksonInvestigator, Lunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalVerified email at lunenfeld.ca

Alina Selega

Postdoctoral fellow, Lunenfeld-Tanenbaum Research Institute, Vector Institute

Verified email at lunenfeld.ca - Homepage

Machine learning Statistical genomics


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Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress R Van Nues, G Schweikert, E De Leau, A Selega, A Langford, R Franklin, ... Nature communications 8 (1), 12, 2017	56	2017
Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments A Selega, C Sirocchi, I Iosub, S Granneman, G Sanguinetti Nature methods 14 (1), 83-89, 2017	32	2017
TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies CF Harrigan, Y Rubanova, Q Morris, A Selega PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 238-249, 2019	11	2019
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows A Selega, KR Campbell Transactions on Machine Learning Research, 2023	5	2023
Trends and challenges in computational RNA biology A Selega, G Sanguinetti Genome biology 17, 1-4, 2016	2	2016
The 23rd Annual Meeting of the RNA Society A Ferré-D’Amaré, A Cook, A Ephrussi, D Rio, M Zavolan University of California, Berkeley, 2018	1	2018
Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data Y Lee, ELY Chen, DCH Chan, A Dinesh, S Afiuni-Zadeh, C Klamann, ... bioRxiv, 2024.02. 29.582827, 2024		2024
Segmentation error aware clustering for highly multiplexed imaging Y Lee, ELY Chen, DCH Chan, A Dinesh, S Afiuni-Zadeh, C Klamann, ...		2024
Beyond benchmarking: towards predictive models of dataset-specific single-cell RNA-seq pipeline performance C Fang, A Selega, KR Campbell bioRxiv, 2024.01. 02.572650, 2024		2024
Computational methods for RNA integrative biology A Selega The University of Edinburgh, 2018		2018
Robust statistical modeling greatly improves sensitivity of high-throughput RNA structure probing experiments A Selega, C Sirocchi, I Iosub, S Granneman, G Sanguinetti Intelligent Systems for Molecular Biology, 2016		2016
Statistical modelling of protein-RNA binding time series reveals widespread control of mRNA degradation in stress response A Selega Integrative RNA Biology Special Interest Group Meeting, 7, 2016		2016
BUMHMM: Probabilistic computational pipeline for modelling RNA structure probing data A Selega

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