Matthew J. Wood

Twease at TREC 2006: Breaking and fixing BM25 scoring with (2008)

Kevin C. Dorff, Matthew J. Wood, Fabien Campagne

query expansion, a biologically inspired double mutant recovery experiment.

Predicting protein secondary structure by cascade-correlation neural networks (2004)

Wood, Matthew J., Hirst, Jonathan D.

Summary: The back-propagation neural network algorithm is a commonly used method for predicting the secondary structure of proteins. Whilst popular, this method can be slow to learn and here we...

Predicting protein secondary structure by cascade-correlation neural networks (2004)

Wood, Matthew J., Hirst, Jonathan D.

Summary: The back-propagation neural network algorithm is a commonly used method for predicting the secondary structure of proteins. Whilst popular, this method can be slow to learn and here we...

Predicting protein secondary structure by cascade-correlation neural networks (2004)

Wood, Matthew J., Hirst, Jonathan D.

Summary: The back-propagation neural network algorithm is a commonly used method for predicting the secondary structure of proteins. Whilst popular, this method can be slow to learn and here we...

Mutational Analysis To Define an Activating Region on the Redox-Sensitive Transcriptional Regulator OxyRâ–ż

Wang, Xunde, Mukhopadhyay, Partha, Wood, Matthew J., Outten, F. Wayne, Opdyke, Jason A., Storz, Gisela

The OxyR transcription factor is a key regulator of the Escherichia coli response to oxidative stress. Previous studies showed that OxyR binding to a target promoter enhances RNA polymerase binding...