Datasets

subject: Biomedical Engineering type: dataset

Total is 41 Results
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

10.4231/R7KK98PG

Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar

09/03/2014

The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects

AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

10.4231/RTXE-0Q70

Apekshya Chhetri , Ho-Ching Yang ORCID logo , Joseph V Rispoli ORCID logo , Pratik Kashyap , Thomas M Talavage ORCID logo , Wenbin Zhu , Yukai Zou ORCID logo

10/28/2020

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Statistical Methods Trauma Workflow

Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

10.4231/R7QF8QT4

Rodrigo Castellanos , Zhongming Liu ORCID logo

07/27/2015

This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition

Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

10.4231/R7DB7ZSC

Rodrigo Castellanos , Zhongming Liu ORCID logo

06/07/2016

This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

10.4231/6BAR-6W02

Apekshya Chhetri , Ho-Ching Yang ORCID logo , Joseph V Rispoli ORCID logo , Pratik Kashyap , Thomas M Talavage ORCID logo , Wenbin Zhu , Yukai Zou ORCID logo

08/03/2020

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, a T1-weighted template, and a DTI template.

Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Statistical Methods Trauma Workflow

A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

10.4231/MV0Z-8Z57

Matthew C Pharris , Tamara L Kinzer-Ursem ORCID logo

07/29/2019

This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

Biomedical Engineering Calcium Calmodulin Computational Modeling Kinase Neuroscience Protein Signaling Rule-Based Modeling Synaptic Plasticity

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