23 results on '"Greene, Casey S"'
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2. Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics
3. PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine
4. Abstract 5318: High-grade serous ovarian cancer DNA methylation and survival in African-American women
5. Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses
6. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
7. NO-BOUNDARY THINKING IN BIOINFORMATICS
8. Abstract 815: Patterns of metagene activation in ovarian cancer subtypes
9. COMPUTATIONAL APPROACHES TO STUDY MICROBES AND MICROBIOMES
10. Abstract 2171: Leveraging global gene expression patterns to identify gene sets that predict expression of large numbers of unmeasured genes
11. UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS
12. Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study
13. TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY- SESSION INTRODUCTION
14. TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY
15. Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units
16. Environmental noise improves epistasis models of genetic data discovered using a computational evolution system
17. Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches
18. Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming
19. Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture
20. Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming
21. UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS.
22. TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY.
23. ENABLING PERSONAL GENOMICS WITH AN EXPLICIT TEST OF EPISTASIS.
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