In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward’s with a distance measure based on GoodmanKruskal tau. We motivate the choice of this measure and compare it with other ones. Our hierarchical clustering is applied to over 40 data-sets from UCI archive. The proposed approach is interesting from many viewpoints. First, it pr...

The prevalence of cercarial infection in freshwater snails and their evolutionary trends were studied in Nakhon Nayok province, Thailand. A total of 2,869 individual snails were examined for parasitic infections. The results showed that 12 snail species were found to host larval stages of trematodes with an overall prevalence of 4.7%. The infected specimens included 7 types at the cercarial sta...

Twenty one Trypanosoma cruzi stocks from humans, domiciliary triatomines and one sylvatic animal of different areas of Paraguay were subjected to isoenzyme analysis. Thirteen enzyme systems (15 loci in total) were studied. MN cl2 (clonets 39) and SO34 cl4 (clonets 20) were used as references. Relationships between stocks were depicted by an UPGMA dendrogram constructed using the Jaccard's dista...

SUMMARY Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clusters are defined by cutting branches off the dendrogram. A common but inflexible method uses a constant height cutoff value; this method exhibits suboptimal performance on complicated dendrograms. We present the Dynamic Tree Cut R package that implements novel dynamic branch cutting methods for d...

The author performed PCR-based genetic platform to measure the hierarchical dendrogram of Euclidean genetic distances of Korean scallop populations (KSP), particularly for Chlamys farreri, which was further compared with those of the Chinese scallop populations (CSP), by employing the with specifically designed oligonucleotide primer sets. The scallop is economically and ecologically very impor...

In this paper we propose and test the use of hierarchical clustering for feature selection in databases. The clustering method is Ward’s with a distance measure based on Goodman-Kruskal τ . We motivate the choice of this measure and compare it with other ones. Our hierarchical clustering is applied to over 40 data-sets from UCI archive. The proposed approach is interesting from many viewpoints....

Genetic diversity among and between 16 cultivars of pigeonpea (Cajanus cajan (L) Millsp.) and its wild relatives (C. albicans and C. lineatus) analysed using RAPD. Twenty two random primers with an average of 71.2% polymorphism produced 151 polymorphic bands. Cluster analysis based on these 151 RAPD markers revealed relatively low level (0.434 0.714) of genetic diversity among cultivars and hig...

Cytological characters and protein profile of 5 species (Solanum melongena, S. xanthocarpum, Datura alba,Lycopersiconesculentum and Capsicum annum) of family Solanaceae were investigated through poly acrylamide gel electrophoresis and using cytological characters viz. mitotic index and pollen viability. The present protein profile revealed that experimental genusLycopersicon is very close to th...

We developed random amplified polymorphic DNA (RAPD) analysis for the assessment of the genetic relationship between cultured populations of the Pacific oyster Crassostrea gigas Thunberg in Hiroshima and Goseong, the largest oyster farming areas in Japan and Korea, respectively. Of 25 arbitrary primers comprising decamer nucleotides of random sequences, polymerase chain reaction amplifications ...

Genetic diversity and relationships of 54 wild-grown terebinths (Pistacia terebinthus L.) were determined using 40 SSR (simple sequence repeat) markers (38 in silico polymorphic 2 markers). In analysis, 430 alleles identified. The number per locus ranged from 3 to 25 with a mean value 11 locus. values polymorphism information content (PIC) 0.34 (CUPOhBa4344) 0.91 (CUPSiBa4072) PIC 0.68. distanc...