COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems

Quality management is considered one of the most important obstacles facing the construction industry in Sudan. The application of a quality assessment system contributes to the development of quality in projects as it is possible to measure the quality in projects. This paper aims to introduce one of the quality assessment systems, which is the system followed and applied in the Singapore (CONQUAS). This system assesses quality based on structural, architectural, mechanical and electrical work. The paper also aims to study the factors affecting the application of the quality assessment system in Sudan. The study is carried out in the region of Khartoum. The study is focusing on the construction projects. The study is carried out by questionnaires and other literature review. The respondents are consultants and contractors. The data has been distributed and analyzed by using the Average Index. From the study it was found that CONQUAS standard is assessed the building based on workmanship standards by the assessors from the BCA on site using standard score sheets. The assessment is done throughout the construction process for structural, mechanical and electrical works, and from questionnaire results the main factors affect construction industry in Sudan is lack of standardization in Sudan. The author recommended that more study shall be conducted to identify factors affecting quality in Sudanese construction industry and how to improve the quality.

Download Full-text

INCORPORATING FEATURE RANKING AND EVOLUTIONARY METHODS FOR THE CLASSIFICATION OF HIGH-DIMENSIONAL DNA MICROARRAY GENE EXPRESSION DATA

Australasian Medical Journal ◽

10.21767/amj.2013.1641 ◽

2013 ◽

Vol 06 (05) ◽

Author(s):

Mani Abedini ◽

Michael Kirley ◽

Raymond Chiong

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

High Dimensional ◽

Feature Ranking ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

Download Full-text

Intelligent Data Analysis for Knowl edge Discovery, Patient Monitoring and Quality Assessment

Methods of Information in Medicine ◽

10.1055/s-0038-1627045 ◽

2012 ◽

Vol 51 (04) ◽

pp. 318-322 ◽

Cited By ~ 8

Author(s):

S. Swift ◽

N. Peek

Keyword(s):

Data Analysis ◽

Quality Assessment ◽

Patient Monitoring ◽

Home Monitoring ◽

Washington Dc ◽

Intelligent Data Analysis ◽

Expression Data ◽

Care Assessment ◽

Emerging Topics

Summary Objective: To introduce the focus theme of Methods of Information in Medicine on Intelligent Data Analysis for Knowledge Discovery, Patient Monitoring and Quality Assessment. Methods: Based on two workshops on Intelligent Data Analysis in bioMedicine (IDAMAP) held in Washington, DC, USA (2010) and Bled, Slovenia (2011), six authors were invited to write full papers for the focus theme. Each paper was throughly reviewed by anonymous referees and revised one or more times by the authors. Results: The selected papers cover four ongoing and emerging topics in Intelligent Data Analysis (IDA), being i) systems biology and metabolic pathway modelling; ii) gene expression data modelling; iii) signal processing from in-home monitoring systems; and iv) quality of care assessment. Each of these topics is discussed in detail to introduce the papers to the reader. Conclusion: The development and application of IDA methods in biomedicine is an active area of research which continues to blend with other subfields of medical informatics. As data become increasingly ubiquitous in the biomedical domain, the demand for fast, smart and flexible data analysis methods is undiminished.

Download Full-text