Allelic variation in GAD1 (GAD67) is associated with schizophrenia and influences cortical function and gene expression RE Straub, BK Lipska, MF Egan, TE Goldberg, JH Callicott, MB Mayhew, ... Molecular psychiatry 12 (9), 854-869, 2007 | 308 | 2007 |
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections MB Mayhew, L Buturovic, R Luethy, U Midic, AR Moore, JA Roque, ... Nature communications 11 (1), 1177, 2020 | 86 | 2020 |
Size-dependent expression of the mitotic activator Cdc25 suggests a mechanism of size control in fission yeast D Keifenheim, XM Sun, E D’Souza, MJ Ohira, M Magner, MB Mayhew, ... Current Biology 27 (10), 1491-1497. e4, 2017 | 84 | 2017 |
Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network LAS Kovacs, MB Mayhew, DA Orlando, Y Jin, Q Li, C Huang, SI Reed, ... Molecular cell 45 (5), 669-679, 2012 | 83 | 2012 |
A probabilistic approach for SNP discovery in high-throughput human resequencing data R Hoberman, J Dias, B Ge, E Harmsen, M Mayhew, DJ Verlaan, T Kwan, ... Genome Research 19 (9), 1542-1552, 2009 | 58 | 2009 |
Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models MB Mayhew, BK Petersen, AP Sales, JD Greene, VX Liu, TS Wasson Journal of biomedical informatics 78, 33-42, 2018 | 34 | 2018 |
Assessing the utility of thermodynamic features for microRNA target prediction under relaxed seed and no conservation requirements P Lekprasert, M Mayhew, U Ohler PLoS One 6 (6), e20622, 2011 | 34 | 2011 |
A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes SL Grady, SA Malfatti, TS Gunasekera, BK Dalley, MG Lyman, ... BMC genomics 18, 1-19, 2017 | 31 | 2017 |
Assessing semantic information in convolutional neural network representations of images via image annotation MB Mayhew, B Chen, KS Ni 2016 IEEE International Conference on Image Processing (ICIP), 2266-2270, 2016 | 19 | 2016 |
Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department N Galtung, E Diehl-Wiesenecker, D Lehmann, N Markmann, ... European Journal of Emergency Medicine 29 (5), 357-365, 2022 | 18 | 2022 |
Characterization of dependencies between growth and division in budding yeast MB Mayhew, ES Iversen, AJ Hartemink Journal of the Royal Society Interface 14 (127), 20160993, 2017 | 15 | 2017 |
A generalized model for multi-marker analysis of cell cycle progression in synchrony experiments MB Mayhew, JW Robinson, B Jung, SB Haase, AJ Hartemink Bioinformatics 27 (13), i295-i303, 2011 | 15 | 2011 |
MUTED, a protein that binds to dysbindin (DTNBP1), is associated with schizophrenia RE Straub, MB Mayhew, RK Vakkalanka, B Kolachana, TE Goldberg, ... AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS 138 (1 …, 2005 | 9 | 2005 |
Facial expression recognition using a large out-of-context dataset E Tran, MB Mayhew, H Kim, P Karande, AD Kaplan 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW), 52-59, 2018 | 8 | 2018 |
Modeling sepsis progression using hidden Markov models BK Petersen, MB Mayhew, KOE Ogbuefi, JD Greene, VX Liu, P Ray Workshop on Machine Learning for Health (ML4H) at NeurIPS 2017, 2017 | 6 | 2017 |
Close encounters of the collaborative kind MB Mayhew, X Guo, SB Haase, AJ Hartemink Computer 45 (3), 24-30, 2012 | 6 | 2012 |
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality MB Mayhew, E Tran, K Choi, U Midic, R Luethy, N Damaraju, L Buturovic Pacific Symposium on Biocomputing, 2020 | 4 | 2020 |
Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital … MB Mayhew, E Tran, K Choi, U Midic, R Luethy, N Damaraju, L Buturovic arXiv preprint arXiv:2003.12310, 2020 | 4 | 2020 |
MUTED (6p24. 3), a protein that binds to dysbindin (DTNBP1, 6p22. 3), is strongly associated with schizophrenia and exhibits statistical epistasis with COMT RE Straub, MB Mayhew, RK Vakkalanka, B Kolachana, TE Goldberg, ... Neuropsychopharmacology 30, S255-S256, 2005 | 4 | 2005 |
Detection of dysbindin (DTNBP1) effects on clinical and cognitive phenotypes can be highly dependent on variation in COMT RE Straub, MB Mayhew, RK Vakkalanka, B Kolachana, TE Goldberg, ... AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS 138 (1 …, 2005 | 4 | 2005 |