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Alina Selega
Alina Selega
Postdoctoral fellow, Lunenfeld-Tanenbaum Research Institute, Vector Institute
Verified email at lunenfeld.ca - Homepage
Title
Cited by
Cited by
Year
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
582017
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
322017
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
122019
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows
A Selega, KR Campbell
Transactions on Machine Learning Research, 2023
52023
Trends and challenges in computational RNA biology
A Selega, G Sanguinetti
Genome biology 17, 1-4, 2016
22016
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
12018
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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