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Matthew W Hodgman

Showing results (1-10 of 5) with videos related to

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Nucleic Acids Research|October 12, 2020
CUBAP: an interactive web portal for analyzing codon usage biases across populationsMatthew W Hodgman, Justin B Miller, Taylor E Meurs, et al.
Pediatric Cardiology|May 7, 2026
A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac SurgeryDaniel E Ehrmann, Matthew W Hodgman, Emily M Wittrup, et al.
NAR Genomics and Bioinformatics|June 6, 2022
The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interfaceJustin B Miller, Taylor E Meurs, Matthew W Hodgman, et al.
Genes|November 27, 2021
Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature CorrelationErik D Huckvale, Matthew W Hodgman, Brianna B Greenwood, et al.
Nature Methods|November 26, 2021
MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imagingDenis Schapiro, Artem Sokolov, Clarence Yapp, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Nucleic Acids Research|October 12, 2020
CUBAP: an interactive web portal for analyzing codon usage biases across populationsMatthew W Hodgman, Justin B Miller, Taylor E Meurs, et al.
Pediatric Cardiology|May 7, 2026
A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac SurgeryDaniel E Ehrmann, Matthew W Hodgman, Emily M Wittrup, et al.
NAR Genomics and Bioinformatics|June 6, 2022
The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interfaceJustin B Miller, Taylor E Meurs, Matthew W Hodgman, et al.
Genes|November 27, 2021
Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature CorrelationErik D Huckvale, Matthew W Hodgman, Brianna B Greenwood, et al.
Nature Methods|November 26, 2021
MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imagingDenis Schapiro, Artem Sokolov, Clarence Yapp, et al.
Pageof 1