Quaid Morris

Orcid: 0000-0002-2760-6999

Affiliations:
  • Memorial Sloan Kettering Cancer Center, New York City, USA
  • University of Toronto, Canada


According to our database1, Quaid Morris authored at least 64 papers between 1996 and 2022.

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Bibliography

2022
Regional mutational signature activities in cancer genomes.
PLoS Comput. Biol., December, 2022

PAN-cODE: COVID-19 forecasting using conditional latent ODEs.
J. Am. Medical Informatics Assoc., 2022

Characterizing The Landscape Of Viral Expression In Cancer By Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Reconstructing tumor evolutionary histories and clone trees in polynomial-time with SubMARine.
PLoS Comput. Biol., 2021

Learning Optimal Predictive Checklists.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Segmenting Hybrid Trajectories using Latent ODEs.
Proceedings of the 38th International Conference on Machine Learning, 2021

An empirical framework for domain generalization in clinical settings.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020
The evolutionary history of 2,658 cancers.
Nat., 2020

Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary CarePhysicians.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Genome Gerrymandering: Optimal Division of the Genome into Regions with Cancer Type SpecificDifferences in Mutation Rates.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

TrackSigFreq: Subclonal Reconstructions Based on Mutation Signatures and Allele Frequencies.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Memory-Based Graph Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2018
GeneMANIA update 2018.
Nucleic Acids Res., 2018

Reconstructing evolutionary trajectories of mutations in cancer.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Reinterpreting Importance-Weighted Autoencoders.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Session Introduction.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015
ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.
BMC Bioinform., 2015

Novel function discovery with GeneMANIA: a new integrated resource for gene function prediction in <i>Escherichia coli</i>.
Bioinform., 2015

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors.
CoRR, 2014

Inferring clonal evolution of tumors from single nucleotide somatic mutations.
BMC Bioinform., 2014

PLIDA: cross-platform gene expression normalization using perturbed topic models.
Bioinform., 2014

An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Session introduction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
A compendium of RNA-binding motifs for decoding gene regulation.
Nat., 2013

GeneMANIA Prediction Server 2013 Update.
Nucleic Acids Res., 2013

RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins.
Nucleic Acids Res., 2013

Session introduction.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

The Future of Genome-Based Medicine.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012
PERT: A Method for Expression Deconvolution of Human Blood Samples from Varied Microenvironmental and Developmental Conditions.
PLoS Comput. Biol., 2012

Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data
CoRR, 2012

Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study.
BMC Syst. Biol., 2012

Mixture Model for Sub-Phenotyping in GWAS.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Session introduction.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011
RBPDB: a database of RNA-binding specificities.
Nucleic Acids Res., 2011

Computational purification of tumor gene expression data.
BMC Bioinform., 2011

Unsupervised detection of genes of influence in lung cancer using biological networks.
Bioinform., 2011

2010
RNAcontext: A New Method for Learning the Sequence and Structure Binding Preferences of RNA-Binding Proteins.
PLoS Comput. Biol., 2010

The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
Nucleic Acids Res., 2010

Fast integration of heterogeneous data sources for predicting gene function with limited annotation.
Bioinform., 2010

GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop.
Bioinform., 2010

Cytoscape Web: an interactive web-based network browser.
Bioinform., 2010

2009
ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.
Bioinform., 2009

Predicting the binding preference of transcription factors to individual DNA <i>k</i>-mers.
Bioinform., 2009

Using the Gene Ontology Hierarchy when Predicting Gene Function.
Proceedings of the UAI 2009, 2009

Post-Transcriptional Gene Regulation: RNA-Protein Interactions, RNA Processing, mRNA Stability and Localization.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008
Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse.
Neurocomputing, 2008

Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3.
Proceedings of the Biocomputing 2008, 2008

A mixture model for the evolution of gene expression in non-homogeneous datasets.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data.
J. Comput. Biol., 2007

NIPS workshop on New Problems and Methods in Computational Biology.
BMC Bioinform., 2007

RankMotif++: a motif-search algorithm that accounts for relative ranks of K-mers in binding transcription factors.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data.
J. Comput. Biol., 2006

Inferring global levels of alternative splicing isoforms using a generative model of microarray data.
Bioinform., 2006

Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data.
Proceedings of the Research in Computational Molecular Biology, 2006

Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Finding Novel Transcripts in High-Resolution Genome-Wide Microarray Data Using the GenRate Model.
Proceedings of the Research in Computational Molecular Biology, 2005

GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data.
Proceedings of the Biocomputing 2005, 2005

GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Multi-way clustering of microarray data using probabilistic sparse matrix factorization.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

2004
Probabilistic Inference of Alternative Splicing Events in Microarray Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Denoising and Untangling Graphs Using Degree Priors.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001
Recognition Networks for Approximate Inference in BN20 Networks.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

1996
A Maximum-Likelihood Approach to Visual Event Classification.
Proceedings of the Computer Vision, 1996


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