Jesse A. Gillis

According to our database, Jesse A. Gillis authored at least 18 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning single-cell chromatin accessibility profiles using meta-analytic marker genes.

Risa Karakida Kawaguchi, Ziqi Tang, Stephan Fischer, Chandana Rajesh, Rohit Tripathy, Peter K. Koo, Jesse A. Gillis

Briefings Bioinform., January, 2023

2022

Defining the extent of gene function using ROC curvature.

Stephan Fischer, Jesse A. Gillis

Bioinform., December, 2022

2020

CoCoCoNet: conserved and comparative co-expression across a diverse set of species.

John Lee, Manthan Shah, Sara Ballouz, Megan Crow, Jesse A. Gillis

Nucleic Acids Res., 2020

2017

EGAD: ultra-fast functional analysis of gene networks.

Sara Ballouz, Melanie Weber, Paul Pavlidis, Jesse A. Gillis

Bioinform., 2017

2016

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

Sara Ballouz, Jesse A. Gillis

PLoS Comput. Biol., 2016

Positive and negative forms of replicability in gene network analysis.

Wim Verleyen, Sara Ballouz, Jesse A. Gillis

Bioinform., 2016

2015

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

Wim Verleyen, Sara Ballouz, Jesse A. Gillis

Bioinform., 2015

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

Sara Ballouz, Wim Verleyen, Jesse A. Gillis

Bioinform., 2015

2013

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

Jesse A. Gillis, Paul Pavlidis

BMC Bioinform., 2013

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

Jesse A. Gillis, Paul Pavlidis

Bioinform., 2013

2012

"Guilt by Association" Is the Exception Rather Than the Rule in Gene Networks.

Jesse A. Gillis, Paul Pavlidis

PLoS Comput. Biol., 2012

Progress and challenges in the computational prediction of gene function using networks.

Paul Pavlidis, Jesse A. Gillis

F1000Research, 2012

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

Anton Zoubarev, Kelsey M. Hamer, Kiran Keshav, E. Luke McCarthy, Joseph Roy C. Santos, Thea Van Rossum, Cameron McDonald, Adam Hall, Xiang Wan, Raymond Lim, Jesse A. Gillis, Paul Pavlidis

Bioinform., 2012

2011

The role of indirect connections in gene networks in predicting function.

Jesse A. Gillis, Paul Pavlidis

Bioinform., 2011

2010

Spatial coherence and stationarity of local field potentials in an isolated whole hippocampal preparation <i>in vitro</i>.

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

J. Comput. Neurosci., 2010

2009

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

Jesse A. Gillis, Paul Pavlidis

BMC Bioinform., 2009

2006

Deficiencies in traditional measures of in vitro hippocampal rhythms.

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

Neurocomputing, 2006

2005

Characterizing in vitro hippocampal ripples using time-frequency analysis.

Jesse A. Gillis, W. P. Luk, Liang Zhang, Frances K. Skinner

Neurocomputing, 2005