Precision assessment of some supervised and unsupervised algorithms for genotype discrimination in the genus Pisum using SSR molecular data

Journal of Theoretical Biology

Volumn 368, Issue , 2015, Pages 122-132

  Nasiri, Jaber ^a   Naghavi, Mohammad Reza ^a   Kayvanjoo, Amir Hossein ^b   Nasiri, Mojtaba ^c   Ebrahimi, Mansour ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF QOM   (Iran)

^c UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Data mining; DNA fingerprinting; Genus Pisum; Machine learning; SSR markers

Indexed keywords

ALGORITHM; ANGIOSPERM; BIOMARKER; DATA MINING; DNA; GENETIC ANALYSIS; GENOTYPE; MOLECULAR ANALYSIS; PRECISION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CULTIVAR; DATA MINING; DECISION TREE; DNA FINGERPRINTING; GENE AMPLIFICATION; GENOTYPE; MACHINE LEARNING; MONOPHYLY; NONHUMAN; PEA; PISUM; PISUM ABYSSINICUM; PISUM ELATIUS; PISUM FULVUM; PISUM THEBAICUM; PLANT BREEDING; SIMPLE SEQUENCE REPEAT; SUPERVISED ALGORITHM; SUPPORT VECTOR MACHINE; TAXONOMY; UNSUPERVISED ALGORITHM; BIOLOGICAL MODEL; CLUSTER ANALYSIS; GENETIC MARKER; GENETICS; PLANT GENE; PROCEDURES; SPECIES DIFFERENCE;

PISUM; PISUM FULVUM; PISUM SATIVUM;

GENETIC MARKER; MICROSATELLITE DNA; PLANT DNA;

ALGORITHMS; BAYES THEOREM; CLUSTER ANALYSIS; DECISION TREES; DNA FINGERPRINTING; DNA, PLANT; GENES, PLANT; GENETIC MARKERS; GENOTYPE; MICROSATELLITE REPEATS; MODELS, GENETIC; PEAS; SPECIES SPECIFICITY; SUPPORT VECTOR MACHINES;

EID: 84921871162     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2015.01.001     Document Type: Article

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