Pseudo K-tuple nucleotide composition (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Pseudo K-tuple nucleotide composition" in English language version.

refsWebsite

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10doi.org

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7nih.gov

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5worldcat.org

5^th place

3elsevier.com

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2oup.com

485^th place

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1semanticscholar.org

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1rsc.org

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doi.org (Global: 2^nd place; English: 2^nd place)

Chen, Wei; Lei, Tian-Yu; Jin, Dian-Chuan; Lin, Hao; Chou, Kuo-Chen (2014). "PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition". Analytical Biochemistry. 456: 53–60. doi:10.1016/j.ab.2014.04.001.
Chou, Kuo-Chen (2001). "Prediction of protein cellular attributes using pseudo-amino acid composition". Proteins: Structure, Function, and Genetics. 43 (3): 246–55. doi:10.1002/prot.1035. PMID 11288174. S2CID 28406797.
Chou, Kuo-Chen (2011-03-21). "Some remarks on protein attribute prediction and pseudo amino acid composition". Journal of Theoretical Biology. 273 (1): 236–247. doi:10.1016/j.jtbi.2010.12.024. ISSN 0022-5193. PMC 7125570.
Chen, Wei; Lei, Tian-Yu; Jin, Dian-Chuan; Lin, Hao; Chou, Kuo-Chen (2014). "PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition". Analytical Biochemistry. 456: 53–60. doi:10.1016/j.ab.2014.04.001. PMID 24732113.
Chen, Wei; Zhang, Xitong; Brooker, Jordan; Lin, Hao; Zhang, Liqing; Chou, Kuo-Chen (2015). "PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions". Bioinformatics. 31 (1): 119–20. doi:10.1093/bioinformatics/btu602. PMID 25231908.
Chen, Wei; Lin, Hao; Chou, Kuo-Chen (2015). "Pseudo nucleotide composition or PseKNC: An effective formulation for analyzing genomic sequences". Molecular BioSystems. 11 (10): 2620–34. doi:10.1039/c5mb00155b. PMID 26099739.
Chen, Wei; Lin, Hao; Chou, Kuo-Chen (2015). "Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences". Molecular BioSystems. 11 (10): 2620–2634. doi:10.1039/C5MB00155B. ISSN 1742-206X.
Liu, Bin; Wang, Shanyi; Long, Ren; Chou, Kuo-Chen (2017-01-01). "iRSpot-EL: identify recombination spots with an ensemble learning approach". Bioinformatics. 33 (1): 35–41. doi:10.1093/bioinformatics/btw539. ISSN 1367-4803.
Ye, Dong-Xin; Yu, Jun-Wen; Li, Rui; Hao, Yu-Duo; Wang, Tian-Yu; Yang, Hui; Ding, Hui (2024-06-12). "The Prediction of Recombination Hotspot Based on Automated Machine Learning". Journal of Molecular Biology 168653. doi:10.1016/j.jmb.2024.168653. ISSN 0022-2836.
Liu, Bin; Liu, Fule; Wang, Xiaolong; Chen, Junjie; Fang, Longyun; Chou, Kuo-Chen (2015-07-01). "Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences". Nucleic Acids Research. 43 (W1): W65 – W71. doi:10.1093/nar/gkv458. ISSN 0305-1048. PMC 4489303. PMID 25958395.

elsevier.com (Global: 610^th place; English: 704^th place)

linkinghub.elsevier.com

Chen, Wei; Lei, Tian-Yu; Jin, Dian-Chuan; Lin, Hao; Chou, Kuo-Chen (2014). "PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition". Analytical Biochemistry. 456: 53–60. doi:10.1016/j.ab.2014.04.001.
Chou, Kuo-Chen (2011-03-21). "Some remarks on protein attribute prediction and pseudo amino acid composition". Journal of Theoretical Biology. 273 (1): 236–247. doi:10.1016/j.jtbi.2010.12.024. ISSN 0022-5193. PMC 7125570.
Ye, Dong-Xin; Yu, Jun-Wen; Li, Rui; Hao, Yu-Duo; Wang, Tian-Yu; Yang, Hui; Ding, Hui (2024-06-12). "The Prediction of Recombination Hotspot Based on Automated Machine Learning". Journal of Molecular Biology 168653. doi:10.1016/j.jmb.2024.168653. ISSN 0022-2836.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Chou, Kuo-Chen (2001). "Prediction of protein cellular attributes using pseudo-amino acid composition". Proteins: Structure, Function, and Genetics. 43 (3): 246–55. doi:10.1002/prot.1035. PMID 11288174. S2CID 28406797.
Chen, Wei; Lei, Tian-Yu; Jin, Dian-Chuan; Lin, Hao; Chou, Kuo-Chen (2014). "PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition". Analytical Biochemistry. 456: 53–60. doi:10.1016/j.ab.2014.04.001. PMID 24732113.
Chen, Wei; Zhang, Xitong; Brooker, Jordan; Lin, Hao; Zhang, Liqing; Chou, Kuo-Chen (2015). "PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions". Bioinformatics. 31 (1): 119–20. doi:10.1093/bioinformatics/btu602. PMID 25231908.
Chen, Wei; Lin, Hao; Chou, Kuo-Chen (2015). "Pseudo nucleotide composition or PseKNC: An effective formulation for analyzing genomic sequences". Molecular BioSystems. 11 (10): 2620–34. doi:10.1039/c5mb00155b. PMID 26099739.
Liu, Bin; Liu, Fule; Wang, Xiaolong; Chen, Junjie; Fang, Longyun; Chou, Kuo-Chen (2015-07-01). "Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences". Nucleic Acids Research. 43 (W1): W65 – W71. doi:10.1093/nar/gkv458. ISSN 0305-1048. PMC 4489303. PMID 25958395.

ncbi.nlm.nih.gov

Chou, Kuo-Chen (2011-03-21). "Some remarks on protein attribute prediction and pseudo amino acid composition". Journal of Theoretical Biology. 273 (1): 236–247. doi:10.1016/j.jtbi.2010.12.024. ISSN 0022-5193. PMC 7125570.
Liu, Bin; Liu, Fule; Wang, Xiaolong; Chen, Junjie; Fang, Longyun; Chou, Kuo-Chen (2015-07-01). "Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences". Nucleic Acids Research. 43 (W1): W65 – W71. doi:10.1093/nar/gkv458. ISSN 0305-1048. PMC 4489303. PMID 25958395.

oup.com (Global: 485^th place; English: 440^th place)

academic.oup.com

Liu, Bin; Wang, Shanyi; Long, Ren; Chou, Kuo-Chen (2017-01-01). "iRSpot-EL: identify recombination spots with an ensemble learning approach". Bioinformatics. 33 (1): 35–41. doi:10.1093/bioinformatics/btw539. ISSN 1367-4803.
Liu, Bin; Liu, Fule; Wang, Xiaolong; Chen, Junjie; Fang, Longyun; Chou, Kuo-Chen (2015-07-01). "Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences". Nucleic Acids Research. 43 (W1): W65 – W71. doi:10.1093/nar/gkv458. ISSN 0305-1048. PMC 4489303. PMID 25958395.

rsc.org (Global: 2,020^th place; English: 1,872^nd place)

xlink.rsc.org

Chen, Wei; Lin, Hao; Chou, Kuo-Chen (2015). "Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences". Molecular BioSystems. 11 (10): 2620–2634. doi:10.1039/C5MB00155B. ISSN 1742-206X.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Chou, Kuo-Chen (2001). "Prediction of protein cellular attributes using pseudo-amino acid composition". Proteins: Structure, Function, and Genetics. 43 (3): 246–55. doi:10.1002/prot.1035. PMID 11288174. S2CID 28406797.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Chou, Kuo-Chen (2011-03-21). "Some remarks on protein attribute prediction and pseudo amino acid composition". Journal of Theoretical Biology. 273 (1): 236–247. doi:10.1016/j.jtbi.2010.12.024. ISSN 0022-5193. PMC 7125570.
Chen, Wei; Lin, Hao; Chou, Kuo-Chen (2015). "Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences". Molecular BioSystems. 11 (10): 2620–2634. doi:10.1039/C5MB00155B. ISSN 1742-206X.
Liu, Bin; Wang, Shanyi; Long, Ren; Chou, Kuo-Chen (2017-01-01). "iRSpot-EL: identify recombination spots with an ensemble learning approach". Bioinformatics. 33 (1): 35–41. doi:10.1093/bioinformatics/btw539. ISSN 1367-4803.
Ye, Dong-Xin; Yu, Jun-Wen; Li, Rui; Hao, Yu-Duo; Wang, Tian-Yu; Yang, Hui; Ding, Hui (2024-06-12). "The Prediction of Recombination Hotspot Based on Automated Machine Learning". Journal of Molecular Biology 168653. doi:10.1016/j.jmb.2024.168653. ISSN 0022-2836.
Liu, Bin; Liu, Fule; Wang, Xiaolong; Chen, Junjie; Fang, Longyun; Chou, Kuo-Chen (2015-07-01). "Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences". Nucleic Acids Research. 43 (W1): W65 – W71. doi:10.1093/nar/gkv458. ISSN 0305-1048. PMC 4489303. PMID 25958395.

Pseudo K-tuple nucleotide composition (English Wikipedia)

doi.org (Global: 2nd place; English: 2nd place)

elsevier.com (Global: 610th place; English: 704th place)