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 Deendayal Dinakarpandian

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Average citations per article1.70
Citation Count17
Publication count10
Publication years2002-2013
Available for download3
Average downloads per article241.67
Downloads (cumulative)725
Downloads (12 Months)26
Downloads (6 Weeks)3
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10 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2013 ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers: Volume 4 Issue 4, September 2013
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 15,   Downloads (Overall): 200

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An integral step in the discovery of new treatments for medical conditions is the matching of potential subjects with appropriate clinical trials. Eligibility criteria for clinical trials are typically specified as inclusion and exclusion criteria for each study in freetext form. While this is sufficient for a human to guide ...
Keywords: Clustering, intelligent matchmaking, eligibility criteria, ontology to DB mapping, search engine, clinical trials, ontology

2
April 2012 Journal of Biomedical Informatics: Volume 45 Issue 2, April, 2012
Publisher: Elsevier Science
Bibliometrics:
Citation Count: 9

Genomics has contributed to a growing collection of gene-function and gene-disease annotations that can be exploited by informatics to study similarity between diseases. This can yield insight into disease etiology, reveal common pathophysiology and/or suggest treatment that can be appropriated from one disease to another. Estimating disease similarity solely on ...
Keywords: Ontology based disease similarity, Ontology perturbation, Disease similarity, Ontology terms, Semantic similarity, Similarity measure, Gene Ontology

3
January 2012 HICSS '12: Proceedings of the 2012 45th Hawaii International Conference on System Sciences
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. However, the current major recruitment methodologies are inherently inefficient. Considerable resources are expended in efforts to recruit adequate numbers of patient volunteers who meet the inclusion/exclusion criteria for ...
Keywords: Workflow, Data Mining, Ontology, Message System, Health Care

4
January 2011 HICSS '11: Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. However, the current major recruitment methodologies are inherently inefficient. Virtual worlds such as Second Life have great potential to help improve the clinical trial recruitment process and overcome ...

5
November 2007 BIBM '07: Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

The widespread use of microarray technology and sequencing of genomes has made it increasingly possible to study the cellular sub-systems of organisms. Computational techniques applied to sequence data annotated with ontologies such as the Gene Ontology (GO) aid in understanding regulatory networks of genes. An important related problem is the ...

6
September 2007 International Journal of Bioinformatics Research and Applications: Volume 3 Issue 3, September 2007
Publisher: Inderscience Publishers
Bibliometrics:
Citation Count: 2

There has been a large increase in the number of ontologies that have been introduced by the biomedical community in recent years. To maximise their potential, there is an urgent need for a mechanism to build interoperability between ontologies developed by different groups. While identifying and linking related concepts is ...
Keywords: bioinformatics, interoperability, ontology clustering, ontology sharing, OBO, knowledge sharing, semantic similarity, ontology overlapping, open biomedical ontologies, semantics

7 published by ACM
March 2007 SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 5,   Downloads (Overall): 185

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We present an enhanced version of an ontological framework called MachineProse that is meant to represent the evolving knowledge resulting from biomedical research. This framework bridges the semantic gap between the use of keywords or controlled vocabularies to index articles and the expressive free-text content of research papers. The benefits ...
Keywords: ontology, inferenceing, query, representation, scientific assertion, semantic web

8
April 2005 Data & Knowledge Engineering - Special issue: Biological data management: Volume 53 Issue 1, April 2005
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

Proteins have been classified into families based on metrics of similarity such as sequence or structural similarity. However, there are significant differences in function even within families. Mapping these differences to individual amino-acid residues is typically done by an expert. This is a subjective and nonscalable approach. ConsDiff is an ...
Keywords: multiple sequence alignment, sequence analysis, algorithm, protein function, amino-acid substitution matrix, knowledge discovery

9
September 2003 DEXA '03: Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Proteins have been classified into families based on metricsof similarity such as sequence or structural similarity. However,there are significant differences in function even within families.For example, only a subset of the family of matrixmetalloproteinases is capable of cleaving collagen. Typically, ascientist scans a multiple sequence alignment by eye to findamino ...

10 published by ACM
March 2002 SAC '02: Proceedings of the 2002 ACM symposium on Applied computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 340

Full text available: PDFPDF
We present the infrastructure of a bioinformation system called BIOMIND, which exploits the close relationship between the structural and functional properties of proteins. The scheme presented here views proteins as composite entities with structural and functional properties, and searches are based on distances along each property axis. Explicitly, this allows ...
Keywords: data mining, proteins, database, query



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