BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

308 related articles for article (PubMed ID: 25896721)

  • 1. Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis.
    Liu B; Chen J; Wang X
    Mol Genet Genomics; 2015 Oct; 290(5):1919-31. PubMed ID: 25896721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein Remote Homology Detection by Combining Chou's Pseudo Amino Acid Composition and Profile-Based Protein Representation.
    Liu B; Wang X; Zou Q; Dong Q; Chen Q
    Mol Inform; 2013 Oct; 32(9-10):775-82. PubMed ID: 27480230
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using amino acid physicochemical distance transformation for fast protein remote homology detection.
    Liu B; Wang X; Chen Q; Dong Q; Lan X
    PLoS One; 2012; 7(9):e46633. PubMed ID: 23029559
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou's PseAAC and Physicochemical Distance Transformation.
    Liu B; Xu J; Fan S; Xu R; Zhou J; Wang X
    Mol Inform; 2015 Jan; 34(1):8-17. PubMed ID: 27490858
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC.
    Zhang S; Duan X
    J Theor Biol; 2018 Jan; 437():239-250. PubMed ID: 29100918
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.
    Rahman MS; Shatabda S; Saha S; Kaykobad M; Rahman MS
    J Theor Biol; 2018 Sep; 452():22-34. PubMed ID: 29753757
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of protein structural class for low-similarity sequences using Chou's pseudo amino acid composition and wavelet denoising.
    Yu B; Lou L; Li S; Zhang Y; Qiu W; Wu X; Wang M; Tian B
    J Mol Graph Model; 2017 Sep; 76():260-273. PubMed ID: 28743071
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition.
    Liang Y; Zhang S
    J Mol Graph Model; 2017 Nov; 78():110-117. PubMed ID: 29055184
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of protein structural classes by Chou's pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis.
    Li ZC; Zhou XB; Dai Z; Zou XY
    Amino Acids; 2009 Jul; 37(2):415-25. PubMed ID: 18726140
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
    Li B; Cai L; Liao B; Fu X; Bing P; Yang J
    Molecules; 2019 Mar; 24(5):. PubMed ID: 30845684
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition.
    Qiu W; Li S; Cui X; Yu Z; Wang M; Du J; Peng Y; Yu B
    J Theor Biol; 2018 Aug; 450():86-103. PubMed ID: 29678694
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition.
    Ahmad K; Waris M; Hayat M
    J Membr Biol; 2016 Jun; 249(3):293-304. PubMed ID: 26746980
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using distances between Top-n-gram and residue pairs for protein remote homology detection.
    Liu B; Xu J; Zou Q; Xu R; Wang X; Chen Q
    BMC Bioinformatics; 2014; 15 Suppl 2(Suppl 2):S3. PubMed ID: 24564580
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting protein-protein interactions by combing various sequence- derived features into the general form of Chou's Pseudo amino acid composition.
    Zhao XW; Ma ZQ; Yin MH
    Protein Pept Lett; 2012 May; 19(5):492-500. PubMed ID: 22486644
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC.
    Zhang S; Liang Y
    J Theor Biol; 2018 Nov; 457():163-169. PubMed ID: 30179589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
    Tian B; Wu X; Chen C; Qiu W; Ma Q; Yu B
    J Theor Biol; 2019 Feb; 462():329-346. PubMed ID: 30452960
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporating secondary features into the general form of Chou's PseAAC for predicting protein structural class.
    Liao B; Xiang Q; Li D
    Protein Pept Lett; 2012 Nov; 19(11):1133-8. PubMed ID: 22185510
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: Approaches with minimal redundancy maximal relevance feature selection.
    Jiao YS; Du PF
    J Theor Biol; 2016 Aug; 402():38-44. PubMed ID: 27155042
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate prediction of subcellular location of apoptosis proteins combining Chou's PseAAC and PsePSSM based on wavelet denoising.
    Yu B; Li S; Qiu WY; Chen C; Chen RX; Wang L; Wang MH; Zhang Y
    Oncotarget; 2017 Dec; 8(64):107640-107665. PubMed ID: 29296195
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.
    Liu B; Li S
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1203-1210. PubMed ID: 29993950
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.