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PubMed · 14962933

NetAffx Gene Ontology Mining Tool: a visual approach for microarray data analysis.

Jill Cheng·Shaw Sun·Adam Tracy·Earl Hubbell·Joseph Morris·Venu Valmeekam·Andrew Kimbrough·Melissa S Cline·Guoying Liu·Ron Shigeta·David Kulp·Michael A Siani-Rose
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Abstract

SUMMARY: The NetAffx Gene Ontology (GO) Mining Tool is a web-based, interactive tool that permits traversal of the GO graph in the context of microarray data. It accepts a list of Affymetrix probe sets and renders a GO graph as a heat map colored according to significance measurements. The rendered graph is interactive, with nodes linked to public web sites and to lists of the relevant probe sets. The GO Mining Tool provides visualization combining biological annotation with expression data, encompassing thousands of genes in one interactive view. AVAILABILITY: GO Mining Tool is freely available at http://www.affymetrix.com/analysis/query/go_analysis.affx

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Abstracting and IndexingAlgorithmsComputer GraphicsDatabase Management SystemsDocumentationGene Expression ProfilingInformation Storage and RetrievalNatural Language ProcessingOligonucleotide Array Sequence AnalysisSoftwareUser-Computer InterfaceEvaluation StudyJournal Article

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Jill Cheng, Shaw Sun, Adam Tracy, Earl Hubbell, Joseph Morris, Venu Valmeekam, Andrew Kimbrough, Melissa S Cline, Guoying Liu, Ron Shigeta, David Kulp, Michael A Siani-Rose. 2004-02-12. NetAffx Gene Ontology Mining Tool: a visual approach for microarray data analysis.. https://doi.org/10.1093/bioinformatics%2Fbth087

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PubMed2006

Measuring patient and physician participation in exchanges on medications: Dialogue Ratio, Preponderance of Initiative, and Dialogical Roles.

OBJECTIVE: To identify, describe and characterize the patient and physician participation in content production in medication-related exchanges during primary care consultations. METHODS: Descriptive study of audio recordings of 422 medical encounters. MEDICODE, a validated instrument was used to analyze verbal exchanges on medications. Two main indicators of participation were developed: Dialogue Ratio (DR), a 0-1 scale indicating extent of monologue/dialogue; Preponderance of Initiative (PI), a -1 to +1 scale for patient/physician initiative. Participation analyses were conducted by content theme and medication categories (New, Represcribed and Active). RESULTS: We identified 1492 discussions of medications. Categorical analyses identified four communication roles patients and physicians adopted when participating in medication-related exchanges during consultations: (a) Listener, (b) Information Provider, (c) Participant, and (d) Instigator. The mean observed DRs and PIs indicated that monologues and physician initiation dominated medication-related exchanges. CONCLUSION: Four factors are suggested to explain the communicational behaviors observed: (1) patient knowledge about medications, (2) physician expertise, (3) patient experience with the medication, and (4) the act of prescribing. Our data indicate a generally low level of dialogue when discussing medications during primary care encounters since physicians' monologues seem to be the rule rather than the exception, pointing to a lack of mutuality in exchanges on medications. PRACTICE IMPLICATIONS: The proposed concepts offer a unique vocabulary and conceptual framework to help physicians master the necessary content and process skills required to discuss medications with patients.

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