Multi Spectral Image Classification Method with Selection of Independent Spectral Features through Correlation Analysis

Culturomics-based bacterial diversity studies benefit from the implementation of MALDI-TOF MS to remove genomically redundant isolates from isolate collections. We previously introduced SPeDE, a novel tool designed to dereplicate spectral datasets at an infraspecific level into operational isolation units (OIUs) based on unique spectral features. However, biological and technical variation may result in methodology-induced differences in MALDI-TOF mass spectra and hence provoke the detection of genomically redundant OIUs. In the present study, we used three datasets to analyze to which extent hierarchical clustering and network analysis allowed to eliminate redundant OIUs obtained through biological and technical sample variation and to describe the diversity within a set of spectra obtained from 134 unknown soil isolates. Overall, network analysis based on unique spectral features in MALDI-TOF mass spectra enabled a superior selection of genomically diverse OIUs compared to hierarchical clustering analysis and provided a better understanding of the inter-OIU relationships.

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The selection of nmr spectral features leading to the optimum classification of residue types in peracetylated oligosaccharide derivatives

Journal of Magnetic Resonance (1969) ◽

10.1016/0022-2364(92)90338-8 ◽

1992 ◽

Vol 96 (3) ◽

pp. 526-540

Author(s):

George Okide ◽

Denise S Weber ◽

Warren J Goux

Keyword(s):

Spectral Features ◽

Selection Of

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Conscientiousness as a Predictor of Relative Longevity

International Journal of Psychological Studies ◽

10.5539/ijps.v8n1p33 ◽

2015 ◽

Vol 8 (1) ◽

pp. 33

Author(s):

Felix Uchechukwu Udoh ◽

Aloysius C. Anyichie

Keyword(s):

Regression Analysis ◽

Correlation Analysis ◽

West Africa ◽

Big Five ◽

Sampling Technique ◽

Pearson Product Moment Correlation ◽

Anambra State ◽

Data Analyses ◽

The People ◽

Selection Of

<p>This study examined the Conscientiousness domain (of the Big-Five Inventory [B5]) and its facets as predictors of Relative Longevity (RL). Its methods of investigation involved the administration of the B5 to a sample of 350 people from Anambra State (of Nigeria, West Africa) who had RL. These participants were drawn from the representative towns of the three senatorial zones in the State. Stratified sampling technique was employed in the selection of the respondents. Pearson Product-Moment Correlation analysis and Multiple Regression analysis were used in data analyses. The results of the research indicated that there was no significant correlation between Conscientiousness domain and RL. However, its (Conscientiousness) facet (of Thorough) correlated significantly with RL. Besides, Conscientiousness did not predict RL, but its facets (Thorough, Reliable, Organized, and Goal-directed) were found to be significant predictors of RL. The study’s conclusion is that although Conscientiousness was neither a correlate nor a predictor of RL among the people of Anambra State, some of its Facets were (correlate and/or predictor/s).</p>

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