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3. iRSpot-EL: identify recombination spots with an ensemble learning approach. Liu B; Wang S; Long R; Chou KC Bioinformatics; 2017 Jan; 33(1):35-41. PubMed ID: 27531102 [TBL] [Abstract][Full Text] [Related]
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7. RF-DYMHC: detecting the yeast meiotic recombination hotspots and coldspots by random forest model using gapped dinucleotide composition features. Jiang P; Wu H; Wei J; Sang F; Sun X; Lu Z Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W47-51. PubMed ID: 17478517 [TBL] [Abstract][Full Text] [Related]
8. PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. Chen W; Lei TY; Jin DC; Lin H; Chou KC Anal Biochem; 2014 Jul; 456():53-60. PubMed ID: 24732113 [TBL] [Abstract][Full Text] [Related]
9. iRSpot-ADPM: Identify recombination spots by incorporating the associated dinucleotide product model into Chou's pseudo components. Zhang L; Kong L J Theor Biol; 2018 Mar; 441():1-8. PubMed ID: 29305179 [TBL] [Abstract][Full Text] [Related]
10. iRSpot-DTS: Predict recombination spots by incorporating the dinucleotide-based spare-cross covariance information into Chou's pseudo components. Zhang S; Yang K; Lei Y; Song K Genomics; 2019 Dec; 111(6):1760-1770. PubMed ID: 30529702 [TBL] [Abstract][Full Text] [Related]
11. iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components. Zhang L; Kong L Genomics; 2019 May; 111(3):457-464. PubMed ID: 29548799 [TBL] [Abstract][Full Text] [Related]
12. iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Su ZD; Huang Y; Zhang ZY; Zhao YW; Wang D; Chen W; Chou KC; Lin H Bioinformatics; 2018 Dec; 34(24):4196-4204. PubMed ID: 29931187 [TBL] [Abstract][Full Text] [Related]
13. iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components. Al Maruf MA; Shatabda S Genomics; 2019 Jul; 111(4):966-972. PubMed ID: 29935224 [TBL] [Abstract][Full Text] [Related]
14. iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition. Xiao X; Xu ZC; Qiu WR; Wang P; Ge HT; Chou KC Genomics; 2019 Dec; 111(6):1785-1793. PubMed ID: 30529532 [TBL] [Abstract][Full Text] [Related]
15. iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Feng CQ; Zhang ZY; Zhu XJ; Lin Y; Chen W; Tang H; Lin H Bioinformatics; 2019 May; 35(9):1469-1477. PubMed ID: 30247625 [TBL] [Abstract][Full Text] [Related]
16. iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples. Kabir M; Hayat M Mol Genet Genomics; 2016 Feb; 291(1):285-96. PubMed ID: 26319782 [TBL] [Abstract][Full Text] [Related]
17. iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences. Chen W; Feng P; Yang H; Ding H; Lin H; Chou KC Oncotarget; 2017 Jan; 8(3):4208-4217. PubMed ID: 27926534 [TBL] [Abstract][Full Text] [Related]
18. iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Lin H; Deng EZ; Ding H; Chen W; Chou KC Nucleic Acids Res; 2014 Dec; 42(21):12961-72. PubMed ID: 25361964 [TBL] [Abstract][Full Text] [Related]
19. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Guo SH; Deng EZ; Xu LQ; Ding H; Lin H; Chen W; Chou KC Bioinformatics; 2014 Jun; 30(11):1522-9. PubMed ID: 24504871 [TBL] [Abstract][Full Text] [Related]
20. iRSpot-DACC: a computational predictor for recombination hot/cold spots identification based on dinucleotide-based auto-cross covariance. Liu B; Liu Y; Jin X; Wang X; Liu B Sci Rep; 2016 Sep; 6():33483. PubMed ID: 27641752 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]