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  • iSuc-PseOpt
  • Referenced in 23 articles [sw22429]
  • incorporating the sequence-coupling effects into the general pseudo amino acid composition and using KNNC ... iSuc-PseOpt has been developed. Rigorous cross-validations indicated that it remarkably outperformed the existing...

  • iSNO-PseAAC
  • Referenced in 39 articles [sw22446]
  • specific amino acid propensity (PSAAP) into the general form of pseudo amino acid composition (PseAAC ... observed that the overall cross-validation success rate achieved by iSNO-PseAAC in identifying nitrosylated...

  • plsRglm
  • Referenced in 4 articles [sw12196]
  • squares Regression for generalized linear models and repeated k-fold cross-validation of such models...

  • iUbiq-Lys
  • Referenced in 8 articles [sw27670]
  • general form of pseudo-amino acid composition. It was demonstrated via the rigorous cross-validations...

  • Glmnet
  • Referenced in 11 articles [sw25026]
  • Matlab: Lasso and elastic-net regularized generalized linear models. This is a Matlab port ... prediction, plotting and k-fold cross-validation; extensive options such as sparse input-matrix formats...

  • SURROGATES
  • Referenced in 16 articles [sw07575]
  • SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods ... error and cross validation: leave-one-out and k-fold cross-validation, and classical error...

  • iRNA-2methyl
  • Referenced in 14 articles [sw24530]
  • series of sequence-coupled factors into the general PseKNC (pseudo nucleotide composition), followed by fusing ... sequence concerned, respectively. RESULTS: Rigorous jackknife cross-validations have indicated that the success rates...

  • pSumo-CD
  • Referenced in 14 articles [sw23949]
  • incorporating the sequence-coupled information into the general pseudo-amino acid composition (PseAAC) and introducing ... training data, had been incorporated. Rigorous cross-validations indicated that the new predictor remarkably outperformed...

  • GPCR-GIA
  • Referenced in 19 articles [sw22458]
  • rates were obtained by the jackknife cross-validation tests on the stringent benchmark data sets ... GPCR-GIA web server is provided. Generally speaking, one can get the desired two-level...

  • rsample
  • Referenced in 1 article [sw31567]
  • package rsample: General Resampling Infrastructure. Classes and functions to create and summarize different ... types of resampling objects (e.g. bootstrap, cross-validation...

  • pLoc-mGneg
  • Referenced in 23 articles [sw25190]
  • proteins by deep gene ontology learning via general PseAAC. Information of the proteins’ subcellular localization ... both single and multiple locations. Rigorous cross-validation on a high quality benchmark dataset indicated...

  • iSS-PseDNC
  • Referenced in 16 articles [sw22438]
  • dinucleotide composition. In eukaryotic genes, exons are generally interrupted by introns. Accurately removing introns ... observed by the rigorous cross-validation tests on two benchmark datasets that the overall success...

  • DPP-PseAAC
  • Referenced in 5 articles [sw24764]
  • binding Protein Prediction model using Chou’s general PseAAC (DPP-PseAAC)}, demonstrates superior performance compared ... fold cross-validation test, jackknife test and independent test respectively. The source code...

  • CUBGCV
  • Referenced in 8 articles [sw04346]
  • fast procedure for calculating minimum cross-validation cubic smoothing splines The procedure CUBGCV ... data is known, or, to minimize the generalized cross validation (GCV) when the variance...

  • penalized

  • Referenced in 1 article [sw23855]
  • likelihood. penalized allows you to fit a generalized linear model (gaussian, logistic, poisson, or multinomial ... toolbox also includes routines for cross-validation and plotting...

  • direpack
  • Referenced in 1 article [sw33319]
  • including generalized spatial signs, as well as dedicated plotting functionality and cross-validation utilities. Finally...

  • iDNA-MS
  • Referenced in 1 article [sw40056]
  • sites. Cross-validated results showed that the proposed method could produce the excellent generalization ability...

  • PHMPL
  • Referenced in 3 articles [sw29636]
  • treat more complex observation schemes involving general censored and left-truncated data. The hazard function ... smoothing parameter is chosen using approximate cross-validation. Confidence bands for the estimator are given...

  • subsemble
  • Referenced in 2 articles [sw18280]
  • Subset-Specific Algorithm Fits. Subsemble is a general subset ensemble prediction method, which ... unique form of V-fold cross-validation to output a prediction function that combines...

  • PSoL
  • Referenced in 5 articles [sw30044]
  • requires no negative training data, which, in general, is hard to define properly and affects ... method is assessed by 5-fold cross-validation experiments which show that PSoL can achieve...