NucPosPred: predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC

DOI10.1016/J.JTBI.2018.04.025zbMath1397.92010OpenAlexW2802078840WikidataQ52573599 ScholiaQ52573599MaRDI QIDQ1642583

Quan Zou, Cangzhi Jia, Qing Yang

Publication date: 15 June 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.04.025

zbMATH Keywords

nucleosome positioningSVMnucleotide compositionKNNGBDT

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (2)

Fu-SulfPred: identification of protein S-sulfenylation sites by fusing forests via Chou's general PseAAC ⋮ NucPosPred

Uses Software

• LIBSVM
• Stata
• iNuc-PseKNC
• pSuc-Lys
• Pse-in-One
• iRSpot-TNCPseAAC
• Prnam-PC
• iDNA-Methyl
• iSuc-PseOpt
• PseKNC
• iRSpot-PseDNC
• iNuc-PhysChem
• pSumo-CD
• iOri-Human
• iRNA-AI
• pLoc-mAnimal
• pLoc-mEuk
• iRNA-PseColl
• iATC-mHyb
• iRNA-2methyl
• iRNAm5C-PseDNC
• iRSpot-EL
• iPromoter-2L
• PREvaIL
• iHSP-PseRAAAC
• MemHyb
• iKcr-PseEns
• iNuc-STNC
• iDNA6mA-PseKNC
• 2L-piRNA

Cites Work

• Greedy function approximation: A gradient boosting machine.
• pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
• IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition
• Some remarks on protein attribute prediction and pseudo amino acid composition
• MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
• On the GBDT Version of the Bäcklund-Darboux Transformation and its Applications to Linear and Nonlinear Equations and Weyl Theory
• Random forests

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