Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM - Test2 - elhamkhani - TriplyDB

Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM

Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM

http://www.wikidata.org/entity/Q34894608

about

Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes Recombination spot identification Based on gapped k-mers.Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots.Protein sequence comparison and DNA-binding protein identification with generalized PseAAC and graphical representation.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

P2860

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P2860

Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM

http://www.wikidata.org/entity/Q34894608

description

2014 nî lūn-bûn

@nan

2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

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2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

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2014年论文

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name

Sequence-based identification ...... xtraction by linear kernel SVM

@ast

Sequence-based identification ...... xtraction by linear kernel SVM

@en

Sequence-based identification ...... xtraction by linear kernel SVM

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type

label

Sequence-based identification ...... xtraction by linear kernel SVM

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Sequence-based identification ...... xtraction by linear kernel SVM

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Sequence-based identification ...... xtraction by linear kernel SVM

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prefLabel

Sequence-based identification ...... xtraction by linear kernel SVM

@ast

Sequence-based identification ...... xtraction by linear kernel SVM

@en

Sequence-based identification ...... xtraction by linear kernel SVM

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1471-2105-15-340

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BMC Bioinformatics

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Sequence-based identification ...... xtraction by linear kernel SVM

@en

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Hua Yang

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Lan Huang

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Liqi Li

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Sanjiu Yu

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Shiwen Zhou

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Weidong Xiao

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Xiaoqi Zheng

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Yongsheng Li

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P2860

iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition

PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotations

A support vector machine for identification of single-nucleotide polymorphisms from next-generation sequencing data.

kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data sets

iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition

NeuroPID: a classifier of neuropeptide precursors

Prediction of protein cellular attributes using pseudo-amino acid composition.

An ensemble classifier for eukaryotic protein subcellular location prediction using gene ontology categories and amino acid hydrophobicity

Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform.

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification

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15

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