BioData Mining | Home page

BioData Mining | Home page

BioData Mining

Featured article: The role of visualization and 3-D printing in biological data mining

© 2015 Weiss et al.

Can 3-D printing be used as a visualization technology in biological data mining? It is our working hypothesis that visualization methods can greatly enhance our ability to make sense of data mining results. We discuss the advantages and disadvantages of this novel method. Find out more in our recently published brief review of 3-D printing along with a case study to illustrate how it might be used in a research setting.

Read this article

Articles

• Recent
• Most accessed

Recent articles RSS

1. METHODOLOGY

   Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution

   Nestor Rodriguez and Sergio Rojas–Galeano

   Published on: 15 March 2017
2. SOFTWARE ARTICLE

   Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces

   Elishai Ezra Tsur

   Published on: 11 March 2017
3. METHODOLOGY

   Label-free data standardization for clinical metabolomics

   Petr G. Lokhov, Dmitri L. Maslov, Oleg N. Kharibin, Elena E. Balashova and Alexander I. Archakov

   Published on: 28 February 2017
4. METHODOLOGY

   Variant Set Enrichment: an R package to identify disease-associated functional genomic regions

   Musaddeque Ahmed, Richard C. Sallari, Haiyang Guo, Jason H. Moore, Housheng Hansen He and Mathieu Lupien

   Published on: 22 February 2017
5. METHODOLOGY

   Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support

   Hossein Mohammadhassanzadeh, William Van Woensel, Samina Raza Abidi and Syed Sibte Raza Abidi

   Published on: 10 February 2017

View all articles

Editors' profiles

Dr Jason Moore is the Edward Rose Professor of Informatics, Professor of Biostatistics and Epidemiology, and Professor of Genetics at the Perelman School of Medicine of the University of Pennsylvania. He serves as the first permanent Director of the Institute for Biomedical Informatics and founding Director of the Division of Informatics in the Department of Biostatistics and Epidemiology. He also serves as Senior Associate Dean for Informatics. His work has been communicated in more than 400 scientific publications and he serves as PI on several NIH R01 grants. He has been recognized as a national leader in informatics through election as a Fellow of the American Association for the Advancement of Sciences (AAAS) and as a Kavli Fellow of the National Academy of Sciences (NAS). He was recently elected a Fellow of the American College of Medical Informatics (ACMI).