Subject
- Mechanical Engineering 4
- Bioinformatics 3
- Computer Science 2
- Interdisciplinary Research 2
- Life Sciences 2
Creator
- Zhongming Liu, 0000-0002-8773-4204 12
- Haiguang Wen 10
- Kun-Han Lu, 0000-0002-0355-8515 8
- Junxing Shi 7
- Yizhen Zhang 7
- Jiayue Cao 6
- Michael Markl 6
- Vitaliy Rayz 6
- Ho-Ching Yang, 0000-0003-2670-1772 5
- Joseph V Rispoli, 0000-0003-4514-3390 5
Type
- Dataset 41
Date
subject: Biomedical Engineering type: dataset
Total is 41 Results
Population-specific brain templates for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database
10.4231/XTZT-P683
Ho-Ching Yang
,
Joseph V Rispoli
,
Thomas M Talavage
,
Wenbin Zhu
,
Yukai Zou
09/12/2019
Unbiased population-specific brain templates for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including a T1-weighted template and a DTI template.
Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Spatial Warping Statistical Methods Trauma Workflow
Next Generation Calmodulin Affinity Purification Data
10.4231/R7Q81B9G
Julia Fraseur
,
Tamara L Kinzer-Ursem
06/01/2018
Coomassie-stained gels used in semi-quantitative analysis of purified calcineurin from calmodulin Sepharose resins.
MicroCT based FE model of bone core with tissue heterogeneity and anisotropy
10.4231/R7CC0XX4
Joseph Wallace
,
Matthew R Allen
,
Max A Hammond
,
Thomas Siegmund
06/26/2018
This publication contains a finite element model for the analysis of bone core under consideration of bone tissue heterogeneity and tissue anisotropy.
Biomedical Engineering Bone Finite Element Analysis Mechanical Engineering
Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity
10.4231/R7VX0DS0
Matthew C Pharris
,
Tamara L. Kinzer-Ursem
07/30/2018
Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...
T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database
10.4231/4668-DM62
Ho-Ching Yang
,
Joseph V Rispoli
,
Thomas M Talavage
,
Wenbin Zhu
,
Yukai Zou
01/16/2019
A population-specific brain atlas based on the T1-weighted MR scans from 215 adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group.
Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience Spatial Normalization Spatial Warping Statistical Methods Trauma Workflow
Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity
10.4231/R7ST7N11
Matthew C Pharris
,
Tamara L. Kinzer-Ursem
02/16/2018
Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal
10.4231/R7WQ01R7
09/30/2015
Matlab toolbox for separating the fractal (scale-free) component and oscillatory component in the power spectrum from the mixed time series
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
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1
10.4231/R7X63K3M
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/15/2017
This is a video-fMRI dataset for subject 1 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI),
Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2
10.4231/R7NS0S1F
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/18/2017
This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).
Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience
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Results 1 - 10 of 41