Biomedical Data Analysis by Supervised Manifold Learning

2012 ◽  
Author(s):  
Andres M. Alvarez-Meza ◽  
G. Daza-Santacoloma ◽  
G. Castellanos-Dominguez
Keyword(s):  
Data Analysis ◽  
Manifold Learning ◽  
Biomedical Data ◽  
Biomedical Data Analysis

BIOMEDICAL DATA ANALYSIS IN PREDICTING AND IDENTIFICATION CANCER DISEASE USING DUO-MINING

2020 ◽  
Vol 9 (6) ◽  
pp. 3489-3497
Author(s):  
N. Cholleti ◽  
T. Hirwarkar
Keyword(s):  
Data Analysis ◽  
Biomedical Data ◽  
Cancer Disease ◽  
Biomedical Data Analysis

scholarly journals Equilibrium Processes in Biomedical Data Analysis: The Wright–Fisher Model

2014 ◽  
Vol 50 (6) ◽  
pp. 890-897 ◽  
Author(s):  
D. V. Koroliouk ◽  
V. S. Koroliuk ◽  
N. Rosato
Keyword(s):  
Data Analysis ◽  
Biomedical Data ◽  
Biomedical Data Analysis ◽  
Equilibrium Processes ◽  
Fisher Model

scholarly journals Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kyle Ellrott ◽  
Alex Buchanan ◽  
Allison Creason ◽  
Michael Mason ◽  
Thomas Schaffter ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Sharing ◽  
Software Architectures ◽  
Biomedical Data ◽  
Output File ◽  
Biomedical Data Analysis ◽  
Input And Output ◽  
Software Packages ◽  
File Formats ◽  
Computing Environments

Abstract Challenges are achieving broad acceptance for addressing many biomedical questions and enabling tool assessment. But ensuring that the methods evaluated are reproducible and reusable is complicated by the diversity of software architectures, input and output file formats, and computing environments. To mitigate these problems, some challenges have leveraged new virtualization and compute methods, requiring participants to submit cloud-ready software packages. We review recent data challenges with innovative approaches to model reproducibility and data sharing, and outline key lessons for improving quantitative biomedical data analysis through crowd-sourced benchmarking challenges.

scholarly journals The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation

2014 ◽  
Vol 5 (1) ◽  
pp. 25 ◽  
Author(s):  
James Malone ◽  
Andy Brown ◽  
Allyson L Lister ◽  
Jon Ison ◽  
Duncan Hull ◽  
...  
Keyword(s):  
Data Analysis ◽  
Digital Preservation ◽  
Biomedical Data ◽  
Biomedical Data Analysis

Bayesian Methods in Biomedical Data Analysis

2014 ◽  
pp. 241-264
Author(s):  
Hsun-Hsien Chang ◽  
Gil Alterovitz
Keyword(s):  
Data Analysis ◽  
Bayesian Methods ◽  
Biomedical Data ◽  
Biomedical Data Analysis

Special issue on intelligent biomedical data analysis and processing

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Deepak Gupta ◽  
Joel J. P. C. Rodrigues ◽  
Oscar Castillo
Keyword(s):  
Data Analysis ◽  
Biomedical Data ◽  
Special Issue ◽  
Biomedical Data Analysis
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