Datasets

Subject
Creator
Type
Date

subject: Biomedical Engineering

Total is 44 Results
Next Generation Calmodulin Affinity Purification Data

10.4231/R7Q81B9G

Julia Fraseur , Tamara L Kinzer-Ursem ORCID logo

06/01/2018

Coomassie-stained gels used in semi-quantitative analysis of purified calcineurin from calmodulin Sepharose resins.

Biomedical Engineering Calcineurin Calmodulin Protein

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

Drosophila Optical Stimulator - hardware files

10.4231/R75T3HHJ

Donald Ready , Taylor Zigon , Vikki Weake ORCID logo , Walter Leon-Salas , Xinping Chen ORCID logo

06/23/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded System Engineering Technology Light-Emitting Diode Open Hardware Optical Stimulation

MicroCT based FE model of single bone trabeculae with tissue heterogeneity and anisotropy

10.4231/R7H41PP9

Joseph Wallace , Matthew R Allen , Max Hammond , Thomas Siegmund ORCID logo

06/26/2018

This publication contains a finite element model for the analysis of single bone trabeculae under consideration of bone tissue heterogeneity and tissue anisotropy.

Biomedical Engineering Bone Finite Element Analysis Mechanical Engineering

Drosophila Optical Stimulator - software files

10.4231/R7222RS4

Donald Ready , Taylor Zigon , Vikki Weake ORCID logo , Walter Leon-Salas , Xinping Chen ORCID logo

06/23/2017

This publication contains the software required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Visualized layer-wise visual features in deep residual neural network

10.4231/R7PR7T1G

Haiguang Wen , Junxing Shi , Wei Chen , Zhongming Liu ORCID logo

06/29/2017

Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...

Biomedical Engineering deep learning natural vision Neural encoding Object Recognition

Drosophila Optical Stimulator

10.4231/R73N21JG

Donald Ready , Taylor Zigon , Vikki Weake , Walter Leon-Salas , Xinping Chen ORCID logo

06/27/2017

This publication contains the electronic files required to build an optical stimulator for fruit flies. The stimulator uses red and blue light-emitting diodes (LEDs) and an embedded computer to generate light at different power density levels.

Biomedical Engineering Drosophila Embedded Software Embedded System Engineering Technology Optical Stimulation Python Code

Mathematica Files: Competitive tuning: competition’s role in setting the frequency-dependence of Ca2+-dependent proteins

10.4231/R7154F7Q

Daniel Romano , Matthew C Pharris , Neal Patel , Tamara Kinzer-Ursem ORCID logo

09/08/2017

We study the competition among seven well-studied neuronal proteins for their common binding partner, calmodulin. We find that competition narrows and shifts the range over which proteins can be activated.

Biomedical Engineering Calcineurin Calmodulin Computational Biology Mathematica Signal Transduction

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 ORCID logo , Yizhen Zhang , Zhongming Liu ORCID logo

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 ORCID logo , Yizhen Zhang , Zhongming Liu ORCID logo

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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