William C. Ray - researchr alias

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Viewing Publication 1 - 19 from 19

2023

Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical DataChristopher W. Bartlett, Jamie Bossenbroek, Yukie Ueyama, Patricia E. Mccallinhart, Olivia A. Peters, Donna A. Santillan, Mark K. Santillan, Aaron J. Trask, William C. Ray. sncs, 4(2):161, March 2023. [doi]

2022

The Importance of Weakly Co-Evolving Residue Networks in Proteins is Revealed by Visual AnalyticsSidharth Mohan, Hatice Gulcin Ozer, William C. Ray. fbinf, 2, 2022. [doi]

2021

Invasive Measurements Can Provide an Objective Ceiling for Non-invasive Machine Learning PredictionsChristopher W. Bartlett, Jamie Bossenbroek, Yukie Ueyama, Patricia E. Mccallinhart, Aaron J. Trask, William C. Ray. sigmap 2021: 73-80 [doi]

2014

Addressing the unmet need for visualizing conditional random fields in biological dataWilliam C. Ray, Samuel L. Wolock, Nicholas W. Callahan, Min Dong, Q. Li, Chun Liang, Thomas J. Magliery, Christopher W. Bartlett. bmcbi, 15:202, 2014. [doi]

2012

An eQTL biological data visualization challenge and approaches from the visualization communityChristopher W. Bartlett, Soo Yeon Cheong, Liping Hou, Jesse Paquette, Pek Yee Lum, Günter Jäger, Florian Battke, Corinna Vehlow, Julian Heinrich, Kay Nieselt, Ryo Sakai, Jan Aerts, William C. Ray. bmcbi, 13(S-8), 2012. [doi]

2011

FIND: A new software tool and development platform for enhanced multicolor flow analysisShareef Dabdoub, William C. Ray, Sheryl S. Justice. bmcbi, 12:145, 2011. [doi]

2010

A Visual Analytics approach to identifying protein structural constraintsWilliam C. Ray. ieeevast 2010: 249-250 [doi]

2008

Visualizing molecular uncertainty: a path to the pathShareef Dabdoub, Abhilash Mohan, William C. Ray. siggraph 2008: 128 [doi]

2007

Informative Motifs in Protein Family AlignmentsHatice Gulcin Ozer, William C. Ray. wabi 2007: 161-170 [doi]

2006

MAVL/StickWRLD: analyzing structural constraints using interpositional dependencies in biomolecular sequence alignmentsHatice Gulcin Ozer, William C. Ray. nar, 34(Web-Server-Issue):133-136, 2006. [doi]

Using flow-visualization for studying sub-molecular motionsWilliam C. Ray, Abhilash Mohan, Jeffrey Bartlett. siggraph 2006: 30 [doi]

2005

MAVL/StickWRLD for protein: visualizing protein sequence families to detect non-consensus featuresWilliam C. Ray. nar, 33(Web-Server-Issue):315-319, 2005. [doi]

Modeling the fluffy lens: construction of the virtual chinchillaWilliam C. Ray, Joseph A. Jurcisek. siggraph 2005: 135 [doi]

Discovering biostructure constraints using VRML visualizationWilliam C. Ray, Hatice Gulcin Ozer. siggraph 2005: 133 [doi]

2004

A Time Series Analysis of Microarray DataSelnur Erdal, Ozgur Ozturk, David L. Armbruster, Hakan Ferhatosmanoglu, William C. Ray. bibe 2004: 366-378 [doi]

MAVL and StickWRLD: visually exploring relationships in nucleic acid sequence alignmentsWilliam C. Ray. nar, 32(Web-Server-Issue):59-63, 2004.

2003

PACRAT: a database and analysis system for archaeal and bacterial intergenic sequence featuresWilliam C. Ray, Charles J. Daniels. nar, 31(1):109-113, 2003.

2001

Tricross : using dot-plots in sequence-id space to detect uncataloged intergenic featuresWilliam C. Ray, Robert S. Munson Jr., Charles J. Daniels. bioinformatics, 17(12):1105-1112, 2001.

The PACRAT system: an extensible WWW-based system for correlated sequence retrieval, storage and analysisWilliam C. Ray, Charles J. Daniels. bioinformatics, 17(1):100-104, 2001.

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