Sara Ballouz
Sara Ballouz
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AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression
In addition to detecting novel transcripts and higher dynamic range, a principal claim for RNA-sequencing has been greater …
Sara Ballouz
,
Jesse Gillis
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DOI
Ligand Similarity Complements Sequence, Physical Interaction, and Co-Expression for Gene Function Prediction
The expansion of protein-ligand annotation databases has enabled large-scale networking of proteins by ligand similarity. These …
Matthew J. O'Meara
,
Sara Ballouz
,
Brian K. Shoichet
,
Jesse Gillis
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DOI
Measuring the wisdom of the crowds in network-based gene function inference
MOTIVATION: Network-based gene function inference methods have proliferated in recent years, but measurable progress remains elusive. …
Wim Verleyen
,
Sara Ballouz
,
Jesse Gillis
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DOI
Bias tradeoffs in the creation and analysis of protein-protein interaction networks
Networks constructed from aggregated protein-protein interaction data are commonplace in biology. But the studies these data are …
Jesse Gillis
,
Sara Ballouz
,
Paul Pavlidis
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DOI
Identification of novel therapeutics for complex diseases from genome-wide association data
BACKGROUND: Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively …
Mani P. Grover
,
Sara Ballouz
,
Kaavya A. Mohanasundaram
,
Richard A. George
,
Craig D. H. Sherman
,
Tamsyn M. Crowley
,
Merridee A. Wouters
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DOI
Gentrepid V2.0: a web server for candidate disease gene prediction
BACKGROUND: Candidate disease gene prediction is a rapidly developing area of bioinformatics research with the potential to deliver …
Sara Ballouz
,
Jason Y. Liu
,
Richard A. George
,
Naresh Bains
,
Arthur Liu
,
Martin Oti
,
Bruno Gaeta
,
Diane Fatkin
,
Merridee A. Wouters
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DOI
Analysis of genome-wide association study data using the protein knowledge base
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for complex disease by independently …
Sara Ballouz
,
Jason Y. Liu
,
Martin Oti
,
Bruno Gaeta
,
Diane Fatkin
,
Melanie Bahlo
,
Merridee A. Wouters
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DOI
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the …
Erdahl T. Teber
,
Jason Y. Liu
,
Sara Ballouz
,
Diane Fatkin
,
Merridee A. Wouters
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DOI
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