Jesse A. Gillis

发表

“Guilt by Association” Is the Exception Rather Than the Rule in Gene Networks

Paul Pavlidis, Jesse A. Gillis, P. Pavlidis, 2012, PLoS Comput. Biol..

Positive and negative forms of replicability in gene network analysis

Sara Ballouz, Jesse A. Gillis, Wim Verleyen, 2016, Bioinform..

EGAD: Ultra-fast functional analysis of gene networks

Sara Ballouz, Paul Pavlidis, Melanie Weber, 2016, bioRxiv.

A methodology for the analysis of differential coexpression across the human lifespan

Paul Pavlidis, Jesse A. Gillis, P. Pavlidis, 2009, BMC Bioinformatics.

AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression

Sara Ballouz, Jesse A. Gillis, J. Gillis, 2016, bioRxiv.

Assessing identity, redundancy and confounds in Gene Ontology annotations over time

Paul Pavlidis, Jesse A. Gillis, P. Pavlidis, 2013, Bioinform..

Deficiencies in traditional measures of in vitro hippocampal rhythms

Liang Zhang, Frances K. Skinner, Jesse A. Gillis, 2006, Neurocomputing.

Characterizing in vitro hippocampal ripples using time-frequency analysis

Liang Zhang, Frances K. Skinner, Jesse A. Gillis, 2005, Neurocomputing.

The role of indirect connections in gene networks in predicting function

Paul Pavlidis, Jesse A. Gillis, P. Pavlidis, 2011, Bioinform..

Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)

Paul Pavlidis, Jesse A. Gillis, P. Pavlidis, 2013, BMC Bioinformatics.

Measuring the wisdom of the crowds in network-based gene function inference

Sara Ballouz, Jesse A. Gillis, Wim Verleyen, 2015, Bioinform..

Guidance for RNA-seq co-expression network construction and analysis: safety in numbers

Sara Ballouz, Jesse A. Gillis, Wim Verleyen, 2015, Bioinform..

Spatial coherence and stationarity of local field potentials in an isolated whole hippocampal preparation in vitro

Liang Zhang, Frances K. Skinner, Jesse A. Gillis, 2010, Journal of Computational Neuroscience.

Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data

Xiang Wan, Adam Hall, E. Luke McCarthy, 2012, Bioinform..