PUBLICATION
QCHARM: A Novel Computational and Scientific Visualization Framework for Facilitating Discovery and Improving Diagnostic Reliability in Medicine
- Authors
- Canada, B.A., Cheng, K.C., and Wang, J.Z.
- ID
- ZDB-PUB-070210-19
- Date
- 2006
- Source
- AMIA Annual Symposium proceedings : 870 (Other)
- Registered Authors
- Cheng, Keith C.
- Keywords
- none
- MeSH Terms
-
- Algorithms
- Animals
- Computational Biology
- Histology*
- Humans
- Information Storage and Retrieval
- Models, Anatomic
- Pathology
- Pattern Recognition, Automated*
- Zebrafish/anatomy & histology
- PubMed
- 17238490
Citation
Canada, B.A., Cheng, K.C., and Wang, J.Z. (2006) QCHARM: A Novel Computational and Scientific Visualization Framework for Facilitating Discovery and Improving Diagnostic Reliability in Medicine. AMIA Annual Symposium proceedings. :870.
Abstract
Because of its transparent, readily accessible embryo, the zebrafish is an excellent model organism for vertebrate development and human disease. We are developing QCHARM, a framework for visualizing, quantitatively characterizing, and annotating 2D histological slices of zebrafish tissues as well as reconstructed 3D models. The framework will also be integrated into the Semantic Web to allow interactivity with various biological databases and ontologies. Ultimately, this project aims to facilitate knowledge discovery and improve diagnostic reliability.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping