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Improving statistical keyword detection in short texts: Entropic and clustering approaches
C Carretero-Campos, P Bernaola-Galván… - Physica A: Statistical …, 2013 - Elsevier
In the last years, two successful approaches have been introduced to tackle the problem of
statistical keyword detection in a text without the use of external information:(i) The entropic …
statistical keyword detection in a text without the use of external information:(i) The entropic …
An improved alignment-free model for DNA sequence similarity metric
J Bao, R Yuan, Z Bao - BMC bioinformatics, 2014 - Springer
Background DNA Clustering is an important technology to automatically find the inherent
relationships on a large scale of DNA sequences. But the DNA clustering quality can still be …
relationships on a large scale of DNA sequences. But the DNA clustering quality can still be …
Keyword extraction by entropy difference between the intrinsic and extrinsic mode
This paper proposes a new metric to evaluate and rank the relevance of words in a text. The
method uses the Shannon's entropy difference between the intrinsic and extrinsic mode …
method uses the Shannon's entropy difference between the intrinsic and extrinsic mode …
Rare k-mer DNA: Identification of sequence motifs and prediction of CpG island and promoter
EKM Hashim, R Abdullah - Journal of theoretical biology, 2015 - Elsevier
Empirical analysis on k-mer DNA has been proven as an effective tool in finding unique
patterns in DNA sequences which can lead to the discovery of potential sequence motifs. In …
patterns in DNA sequences which can lead to the discovery of potential sequence motifs. In …
Probability distribution of intersymbol distances in random symbolic sequences: Applications to improving detection of keywords in texts and of amino acid clustering …
P Carpena, PA Bernaola-Galván, C Carretero-Campos… - Physical Review E, 2016 - APS
Symbolic sequences have been extensively investigated in the past few years within the
framework of statistical physics. Paradigmatic examples of such sequences are written texts …
framework of statistical physics. Paradigmatic examples of such sequences are written texts …
Distinguishing functional DNA words; a method for measuring clustering levels
H Moghaddasi, K Khalifeh, AH Darooneh - Scientific reports, 2017 - nature.com
Functional DNA sub-sequences and genome elements are spatially clustered through the
genome just as keywords in literary texts. Therefore, some of the methods for ranking words …
genome just as keywords in literary texts. Therefore, some of the methods for ranking words …
Complexity measures for the evolutionary categorization of organisms
A Provata, C Nicolis, G Nicolis - Computational biology and chemistry, 2014 - Elsevier
Complexity measures are used to compare the genomic characteristics of five organisms
belonging to distinct classes spanning the evolutionary tree: higher eukaryotes, amoebae …
belonging to distinct classes spanning the evolutionary tree: higher eukaryotes, amoebae …
Grou** environmental factors influencing individual decision‐making behavior in software projects: A cluster analysis
J Jia, H Mo, LF Capretz, Z Chen - Journal of Software …, 2018 - Wiley Online Library
An individual's decision‐making behavior is heavily influenced by and adapted to external
environmental factors. Given that software development is a human‐centered activity …
environmental factors. Given that software development is a human‐centered activity …
Model of the dynamic construction process of texts and scaling laws of words organization in language systems
Scaling laws characterize diverse complex systems in a broad range of fields, including
physics, biology, finance, and social science. The human language is another example of a …
physics, biology, finance, and social science. The human language is another example of a …
DNA clustering and genome complexity
F Dios, G Barturen, R Lebrón, A Rueda… - … biology and chemistry, 2014 - Elsevier
Early global measures of genome complexity (power spectra, the analysis of fluctuations in
DNA walks or compositional segmentation) uncovered a high degree of complexity in …
DNA walks or compositional segmentation) uncovered a high degree of complexity in …