Matches in SemOpenAlex for { <https://semopenalex.org/work/W778826166> ?p ?o ?g. }
- W778826166 endingPage "22" @default.
- W778826166 startingPage "15" @default.
- W778826166 abstract "Characterization and accurate prediction of recombination hotspots and coldspots have crucial implications for the mechanism of recombination. Several models have predicted recombination hot/cold spots successfully, but there is still much room for improvement. We present a novel classifier in which k-mer frequency, physical and thermodynamic properties of DNA sequences are incorporated in the form of weighted features. Applying the classifier to recombination hot/cold ORFs in Saccharomyces cerevisiae, we achieved an accuracy of 90%, which is ~5% higher than existing methods, such as iRSpot-PseDNC, IDQD and Random Forest. The model also predicted non-ORF recombination hot/cold spots sequences in S. cerevisiae with high accuracy. A broad applicability of the model in the field of classification is expected." @default.
- W778826166 created "2016-06-24" @default.
- W778826166 creator A5055132508 @default.
- W778826166 creator A5064744569 @default.
- W778826166 creator A5089779086 @default.
- W778826166 date "2015-10-01" @default.
- W778826166 modified "2023-10-15" @default.
- W778826166 title "Using weighted features to predict recombination hotspots in Saccharomyces cerevisiae" @default.
- W778826166 cites W1494484168 @default.
- W778826166 cites W1759939292 @default.
- W778826166 cites W1863643864 @default.
- W778826166 cites W1885831658 @default.
- W778826166 cites W1963756058 @default.
- W778826166 cites W1965555277 @default.
- W778826166 cites W1970283686 @default.
- W778826166 cites W1970752925 @default.
- W778826166 cites W1972572324 @default.
- W778826166 cites W1972834735 @default.
- W778826166 cites W1974440260 @default.
- W778826166 cites W1984198684 @default.
- W778826166 cites W1987882116 @default.
- W778826166 cites W1988580441 @default.
- W778826166 cites W1998064689 @default.
- W778826166 cites W2001168095 @default.
- W778826166 cites W2004123059 @default.
- W778826166 cites W2004132756 @default.
- W778826166 cites W2007765030 @default.
- W778826166 cites W2009039231 @default.
- W778826166 cites W2009470087 @default.
- W778826166 cites W2009602339 @default.
- W778826166 cites W2013550946 @default.
- W778826166 cites W2024280474 @default.
- W778826166 cites W2034070267 @default.
- W778826166 cites W2034078054 @default.
- W778826166 cites W2036936916 @default.
- W778826166 cites W2037611385 @default.
- W778826166 cites W2038378062 @default.
- W778826166 cites W2038773874 @default.
- W778826166 cites W2042507562 @default.
- W778826166 cites W2047657819 @default.
- W778826166 cites W2049433852 @default.
- W778826166 cites W2051797697 @default.
- W778826166 cites W2060632849 @default.
- W778826166 cites W2061111901 @default.
- W778826166 cites W2067301744 @default.
- W778826166 cites W2068371957 @default.
- W778826166 cites W2070980386 @default.
- W778826166 cites W2071288362 @default.
- W778826166 cites W2071771941 @default.
- W778826166 cites W2074348748 @default.
- W778826166 cites W2077838441 @default.
- W778826166 cites W2085231911 @default.
- W778826166 cites W2088117005 @default.
- W778826166 cites W2091374952 @default.
- W778826166 cites W2091505355 @default.
- W778826166 cites W2095994064 @default.
- W778826166 cites W2101768075 @default.
- W778826166 cites W2105324108 @default.
- W778826166 cites W2107246857 @default.
- W778826166 cites W2107390588 @default.
- W778826166 cites W2107539619 @default.
- W778826166 cites W2112599301 @default.
- W778826166 cites W2112644500 @default.
- W778826166 cites W2114024619 @default.
- W778826166 cites W2116179256 @default.
- W778826166 cites W2117123843 @default.
- W778826166 cites W2120116685 @default.
- W778826166 cites W2123525093 @default.
- W778826166 cites W2124266758 @default.
- W778826166 cites W2125383928 @default.
- W778826166 cites W2130315111 @default.
- W778826166 cites W2132052317 @default.
- W778826166 cites W2132247880 @default.
- W778826166 cites W2132292391 @default.
- W778826166 cites W2141989850 @default.
- W778826166 cites W2143456507 @default.
- W778826166 cites W2145957695 @default.
- W778826166 cites W2146267178 @default.
- W778826166 cites W2146628513 @default.
- W778826166 cites W2147631681 @default.
- W778826166 cites W2148888599 @default.
- W778826166 cites W2155964482 @default.
- W778826166 cites W2160563322 @default.
- W778826166 cites W2161621183 @default.
- W778826166 cites W2161817820 @default.
- W778826166 cites W2313411748 @default.
- W778826166 cites W2034569211 @default.
- W778826166 doi "https://doi.org/10.1016/j.jtbi.2015.06.030" @default.
- W778826166 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26141645" @default.
- W778826166 hasPublicationYear "2015" @default.
- W778826166 type Work @default.
- W778826166 sameAs 778826166 @default.
- W778826166 citedByCount "16" @default.
- W778826166 countsByYear W7788261662016 @default.
- W778826166 countsByYear W7788261662017 @default.
- W778826166 countsByYear W7788261662018 @default.
- W778826166 countsByYear W7788261662019 @default.
- W778826166 countsByYear W7788261662020 @default.