Casey S. Greene
Orcid: 0000-0001-8713-9213
According to our database1,
Casey S. Greene
authored at least 66 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes.
Nucleic Acids Res., July, 2023
PLoS Comput. Biol., March, 2023
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Changing word meanings in biomedical literature reveal pandemics and new technologies.
BioData Min., January, 2023
2022
SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses.
Genom. Proteom. Bioinform., October, 2022
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts.
BioData Min., 2022
2021
miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data.
PLoS Comput. Biol., 2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR, 2021
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR, 2021
Proceedings of the Workshop on Digital Infrastructures for Scholarly Content Objects (DISCO 2021) co-located with ACM/IEEE Joint Conference on Digital Libraries 2021(JCDL 2021), 2021
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition.
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021
2019
Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
2018
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia.
BioData Min., 2018
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
2017
ADAGE signature analysis: differential expression analysis with data-defined gene sets.
BMC Bioinform., 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
2016
Semi-supervised learning of the electronic health record for phenotype stratification.
J. Biomed. Informatics, 2016
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
BioData Min., 2016
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology.
BioData Min., 2016
Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.
Briefings Bioinform., 2016
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2015
Systems Level Analysis of Systemic Sclerosis Shows a Network of Immune and Profibrotic Pathways Connected with Genetic Polymorphisms.
PLoS Comput. Biol., 2015
Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study.
BioData Min., 2015
Unsupervised Feature Construction and Knowledge Extraction from Genome-Wide Assays of Breast Cancer with Denoising Autoencoders.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2014
BioData Min., 2014
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Identification of Novel Genetic Models of Glaucoma Using the "EMERGENT" Genetic Programming-Based Artificial Intelligence System.
Proceedings of the Genetic Programming Theory and Practice XII, 2014
2013
Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes.
PLoS Comput. Biol., 2013
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013
Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
2012
IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Nucleic Acids Res., 2012
2011
Nucleic Acids Res., 2011
BioData Min., 2011
2010
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
Bioinform., 2010
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Evolutionary Computation, 2010
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.
Proceedings of the Evolutionary Computation, 2010
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.
Proceedings of the Evolutionary Computation, 2010
Solving Complex Problems in Human Genetics using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010
2009
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions.
BioData Min., 2009
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease.
Proceedings of the Evolutionary Computation, 2009
An Open-Ended Computational Evolution Strategy for Evolving Parsimonious Solutions to Human Genetics Problems.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008
2007
An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming.
Proceedings of the Pattern Recognition in Bioinformatics, 2007