Suggestions(1)
Exact(2)
SignalP consists of two predictors - a neural network (NN) based predictor, and a hidden Markov model (HMM) based predictor.
As a confirmation of the necessity of the training, the MAE of ANGLOR is statistically smaller than those of a purely secondary-structure based predictor and a random predictor with a p-value <1.0×10−148 and <1.0×10−300 by Wilcoxon signed rank test, respectively.
Similar(58)
Only the PPCpred, the alignment based predictor, and the maximum-based aggregation method can be compared the other methods predict only one of the outcomes.
Consequently, we observed that a combination of structural and functional information within a logistic regression based predictor provides the best performance and is more indicative of GIs than either property by itself.
This article presents the design of a sequence based predictor for identifying the residues in a TF that are involved in both sequence-specific binding and non-specific binding with the DNA and the binding mode.
This article presents the design of a sequence based predictor aiming to identify sequence-specific and non-specific binding residues in a transcription factor with DNA binding-mechanism concerned.
Importantly, the DLDA30 is a validated gene expression based predictor of response to taxanes and anthracyclines, as well as to 5-fluorouracil and cyclophosphamide [ 9, 10, 12].
A model based predictor that takes into account the past measured outputs is used, and a Lyapunov function of the estimation error is used for design purposes.
This article presents the design of a sequence based predictor that aims to identify the sequence-specific and non-specific DNA-binding residues in a TF.
This article presents the design of a sequence based predictor aiming to identify the RNA-binding residues in a RNA-binding protein by machine learning and pattern mining approaches.
These sequences were used to perform a TBLASTN (v2.2.19) search and GeneWise (v2.2.0) was used as a homology based predictor of gene structure [ 75].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com