A5101542934- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Bioinformatics and Genomic Networks
- Time Series Analysis and Forecasting
- S100 Proteins and Annexins
- Computational Drug Discovery Methods
- Dementia and Cognitive Impairment Research
- Big Data and Business Intelligence
- Neurological Disease Mechanisms and Treatments
- Data Visualization and Analytics
- Neuroinflammation and Neurodegeneration Mechanisms
- Anomaly Detection Techniques and Applications
- Spreadsheets and End-User Computing
- Inflammation biomarkers and pathways
- Alzheimer's disease research and treatments
- Library Science and Information Literacy
- Data-Driven Disease Surveillance
- Data Analysis with R
- Web and Library Services
Alzforum
2006-2020
The University of Sydney
2010
Abstract Background Neuroscientists often need to access a wide range of data sets distributed over the Internet. These sets, however, are typically neither integrated nor interoperable, resulting in barrier answering complex neuroscience research questions. Domain ontologies can enable querying heterogeneous but they not sufficient for since interest commonly span multiple domains. To this end, e-Neuroscience seeks provide an platform neuroscientists discover new knowledge through seamless...
Background: The analysis and interpretation of data generated from patient-derived clinical samples relies on access to high-quality bioinformatics resources. These are maintained updated by expert curators extracting knowledge unstructured biological described in free-text journal articles converting this into more structured, computationally-accessible forms. This enables analyses such as functional enrichment sets genes/proteins using the Gene Ontology, makes searching productive managing...
Abstract This paper introduces a visualisation technique to help analyse large sets of financial data. The dataset used consists price and news headlines for the Dow Jones Industrial Average (DJIA) related companies several weeks prior height Global Financial Crisis (GFC). Our can analysts uncover relationships between that convey meaning about trader sentiment, their influence on stock prices. information is displayed visually in an interactive animated Microsoft Excel dashboard consisting...
SWAN a Semantic Web Application in Neuromedicine is project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using energy and self-organization of that enabled by technology. This may later be deployed communities other neuromedical disorders. incorporates full biomedical lifecycle its ontological model, including support personal data organization, hypothesis generation, experimentation, lab digital pre-publication...
Alzheimer researchers confront a serious challenge in coping with the torrents of information pouring out laboratories around world. Not only has quantity scientific work AD increased dramatically over past two decades, but also range basic biological concepts and hypotheses diversified to point where no individual could possibly become expert all them. AlzSWAN is Web-based collaborative program that aims organize annotate knowledge about disease (AD) facilitate formation, development...
SWAN (Semantic Web Applications in Neuromedicine) is a Web-based collaborative program that organizes and annotates scientific knowledge about Alzheimer disease (AD). will facilitate the formation, development testing of hypotheses disease. The goals this project are to: 1) create tools resources to manage data information AD; 2) enable researchers view larger context (“what hypothesis does support or contradict?”, compare contrast hypotheses, identify unanswered questions, synthesize...
Given the current state of economy with news growing unemployment as a result company closings, layoffs, organizational restructuring, and downsizing, many in information profession have been affected find themselves looking for their next opportunity. Finding opportunities is challenge which requires creativity assessing one's skills experiences. It essential to consider how position oneself. The evolving technology infrastructure creating new roles professional. Tomorrow's job may an...