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Clinical Linguistics & Phonetics|January 24, 2006
Automatic speech recognition and training for severely dysarthric users of assistive technology: the STARDUST projectMark Parker, Stuart Cunningham, Pam Enderby, et al.Genome Research|January 11, 2007
Characterization and predictive discovery of evolutionarily conserved mammalian alternative promotersDaehyun Baek, Colleen Davis, Brent Ewing, et al.Nature Genetics|March 4, 2003
Transcription-associated mutational asymmetry in mammalian evolutionPhil Green, Brent Ewing, Webb Miller, et al.Clinical Pharmacology and Therapeutics|October 16, 2024
The Potential of Disease Progression Modeling to Advance Clinical Development and Decision MakingMary Summer Starling, Lindsay Kehoe, Bruce K Burnett, et al.Biorxiv : the Preprint Server for Biology|May 7, 2026
CountESS: a flexible, graphical pipeline tool for deep mutational scanning analysisNick Moore, Callum J Sargeant, Matthew J Wakefield, et al.The Journal of Biological Chemistry|June 22, 2021
Human and viral membrane-associated E3 ubiquitin ligases MARCH1 and MIR2 recognize different features of CD86 to downregulate surface expressionRaphael Trenker, Xinyu Wu, Julie V Nguyen, et al.Bioinformatics (Oxford, England)|March 28, 2021
MaveRegistry: a collaboration platform for multiplexed assays of variant effectDa Kuang, Jochen Weile, Nishka Kishore, et al.Genome Biology|February 9, 2018
Correction to: A statistical framework for analyzing deep mutational scanning dataAlan F Rubin, Hannah Gelman, Nathan Lucas, et al.Genome Biology|August 9, 2017
A statistical framework for analyzing deep mutational scanning dataAlan F Rubin, Hannah Gelman, Nathan Lucas, et al.Studies in Health Technology and Informatics|September 7, 2017
Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST)Stuart Cunningham, Phil Green, Heidi Christensen, et al.Pageof 9