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1021-1022 of 4327 Papers

IDENTIFICATION OF MARKER GENES IN LEUKEMIA CANCER TYPES WITH MINIMUM THRESHOLD GENE EXPRESSION VALUE AND QUADRATIC DISCRIMINANT ANALYSIS

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): UZMA NAWAZ

Abstract: Attempts are still in full swing for the detection of differentially expressed genes and using the genes for the detection of early cancer. Each method is with its own simplicity or complexity with the results, yet to portray some degree of confidence level in the designation of a gene as being differentially expressed or not expressed. However, no one statistic is universally optimal and there is seldom any basis or guidance that can direct toward a particular statistic of choice for such complicated gene data. Identifying a subset of genes that are expressed differentially in leukemia types from a large pool of candidates’ genes generated by Golub et al(1999) in microarray experiment has been empirically demonstrated in the study. Principal component analysis on a Box-Cox transformed data exposed clusters of specific leukemia types. Taking into consideration the consistency of a gene expression the relative variance of each gene across the sample expression profiles is determined. A

  • Publication Date: 17-Nov-2014
  • DOI: 10.15224/978-1-63248-053-8-10
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UNDERSTANDING THE IMPACT OF A FACILITATOR’S BEHAVIOUR ON A GDSS MEETING OUTCOMES: THE FORMULATION OF THE TAGDSSM MODEL

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): AMER AL SHISHANY , JACKSON ADAMS

Abstract: This paper aims to shed some light on the importance of the facilitator in a GDSS (Group Decision Support System) supported meeting and the role he/she plays in managing these systems and consequently the impact of his/her managing behaviour on the outcomes of a GDSS meeting. Based on a field study interviewing people from real GDSS environment, SIDE’s (Social Identity model of Deindividuation Effects) strategic component assumption and relevant GDSS supported meeting’s literature this paper proposes a new model named ‘Task-Conflict and Anonymity-Enabled GDSS Meeting (TAGDSSM). This proposed model aims to enhance the understanding and interpreting of facilitators’ and users’ behaviour in anonymity-enabled GDSS meeting environment. The TAGDSSM model manifests two major constructs impacting user’s behaviour in the decision making process: GDSS system’s anonymity and facilitator’s behaviour within GDSS meetings. In-depth semi-structured interviews were conducted with experienced GDSS meet

  • Publication Date: 17-Nov-2014
  • DOI: 10.15224/978-1-63248-051-4-16
  • Views: 0
  • Downloads: 0