Alan M. Moses
Orcid: 0000-0003-3118-3121Affiliations:
- University of Toronto, Departments of Cell and Systems Biology, Toronto, ON, Canada
According to our database1,
Alan M. Moses authored at least 32 papers
between 2003 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome.
PLoS Comput. Biol., 2025
Representation Learning Methods for Single-Cell Microscopy are Confounded by Background Cells.
Proceedings of the 20th Machine Learning in Computational Biology (MLCB), 2025
2024
Improving the performance of supervised deep learning for regulatory genomics using phylogenetic augmentation.
Bioinform., 2024
2023
2022
Architect: A tool for aiding the reconstruction of high-quality metabolic models through improved enzyme annotation.
PLoS Comput. Biol., September, 2022
Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning.
PLoS Comput. Biol., 2022
2021
CoRR, 2021
2020
CoRR, 2020
2019
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting.
PLoS Comput. Biol., 2019
Entropy, 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers.
CoRR, 2019
Variational infinite heterogeneous mixture model for semi-supervised clustering of heart enhancers.
Bioinform., 2019
YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells.
Bioinform., 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Short linear motifs in intrinsically disordered regions modulate HOG signaling capacity.
BMC Syst. Biol., 2018
NoLogo: a new statistical model highlights the diversity and suggests new classes of Crm1-dependent nuclear export signals.
BMC Bioinform., 2018
2015
Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images.
Bioinform., 2015
2014
Detecting Functional Divergence after Gene Duplication through Evolutionary Changes in Posttranslational Regulatory Sequences.
PLoS Comput. Biol., 2014
2013
Unsupervised Clustering of Subcellular Protein Expression Patterns in High-Throughput Microscopy Images Reveals Protein Complexes and Functional Relationships between Proteins.
PLoS Comput. Biol., 2013
2012
BMC Bioinform., 2012
Bioinform., 2012
2011
Ranking insertion, deletion and nonsense mutations based on their effect on genetic information.
BMC Bioinform., 2011
2009
NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction.
BMC Bioinform., 2009
2008
2006
Large-Scale Turnover of Functional Transcription Factor Binding Sites in <i>Drosophila</i>.
PLoS Comput. Biol., 2006
Detecting the limits of regulatory element conservation and divergence estimation using pairwise and multiple alignments.
BMC Bioinform., 2006
2004
Proceedings of the Biocomputing 2004, 2004
2003
Phylogenetically and spatially conserved word pairs associated with gene expression changes in yeasts.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003