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Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
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Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC

Shen, Yinan ; Tang, Jijun ; Guo, Fei

Journal of theoretical biology, 2019-02, Vol.462, p.230-239 [Periódico revisado por pares]

England: Elsevier Ltd

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2
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
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iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC

Jia, Jianhua ; Liu, Zi ; Xiao, Xuan ; Liu, Bingxiang ; Chou, Kuo-Chen

Journal of theoretical biology, 2015-07, Vol.377, p.47-56 [Periódico revisado por pares]

England: Elsevier Ltd

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3
A methodology for performing global uncertainty and sensitivity analysis in systems biology
A methodology for performing global uncertainty and sensitivity analysis in systems biology
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A methodology for performing global uncertainty and sensitivity analysis in systems biology

Marino, Simeone ; Hogue, Ian B. ; Ray, Christian J. ; Kirschner, Denise E.

Journal of theoretical biology, 2008-09, Vol.254 (1), p.178-196 [Periódico revisado por pares]

England: Elsevier Ltd

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4
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy
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Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy

Liu, Bin ; Fang, Longyun ; Wang, Shanyi ; Wang, Xiaolong ; Li, Hongtao ; Chou, Kuo-Chen

Journal of theoretical biology, 2015-11, Vol.385, p.153-159 [Periódico revisado por pares]

England: Elsevier Ltd

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5
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC
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iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC

Jia, Jianhua ; Li, Xiaoyan ; Qiu, Wangren ; Xiao, Xuan ; Chou, Kuo-Chen

Journal of theoretical biology, 2019-01, Vol.460, p.195-203 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via Ames test
Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via Ames test
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Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via Ames test

Hajisharifi, Zohre ; Piryaiee, Moien ; Mohammad Beigi, Majid ; Behbahani, Mandana ; Mohabatkar, Hassan

Journal of theoretical biology, 2014-01, Vol.341, p.34 [Periódico revisado por pares]

England

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7
Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition
Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition
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Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition

Ali, Farman ; Hayat, Maqsood

Journal of theoretical biology, 2015-11, Vol.384, p.78-83 [Periódico revisado por pares]

England

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8
Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
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Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC

Zhang, Shengli ; Duan, Xin

Journal of theoretical biology, 2018-01, Vol.437, p.239-250 [Periódico revisado por pares]

England: Elsevier Ltd

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9
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
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pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments

Khan, Yaser Daanial ; Jamil, Mehreen ; Hussain, Waqar ; Rasool, Nouman ; Khan, Sher Afzal ; Chou, Kuo-Chen

Journal of theoretical biology, 2019-02, Vol.463, p.47-55 [Periódico revisado por pares]

England: Elsevier Ltd

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10
PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm
PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm
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PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm

Xu, Qian ; Xiong, Yi ; Dai, Hao ; Kumari, Kotni Meena ; Xu, Qin ; Ou, Hong-Yu ; Wei, Dong-Qing

Journal of theoretical biology, 2017-03, Vol.417, p.1-7 [Periódico revisado por pares]

England: Elsevier Ltd

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