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Optimizing pred(25) Is NP-Hard

Usually, in data processing, to find the parameters of the models that best fits the data, people use the Least Squares method. One of the advantages of this method is that for linear models, it leads to an easy-to-solve system of linear equations. A limitation of this method is that even a single outlier can ruin the corresponding estimates; thus, more robust methods are needed. In particular,...

The Role of Pred in Lfg+glue

In this paper, I argue that standard, co-descriptional glue semantics provides no clear and satisfactory role for the traditional PREDfeatures of LFG, due to the fact that the linear logic of glue semantics does the work of the Completeness and Coherence Constraints. But then I show that a reduced but significant role for PRED-features can be found in an alternative ‘Description-by-Analysis’ (D...

B-Pred, a structure based B-cell epitopes prediction server

The ability to predict immunogenic regions in selected proteins by in-silico methods has broad implications, such as allowing a quick selection of potential reagents to be used as diagnostics, vaccines, immunotherapeutics, or research tools in several branches of biological and biotechnological research. However, the prediction of antibody target sites in proteins using computational methodolog...

ROSC-Pred: web-service for rodent organ-specific carcinogenicity prediction

Motivation Identification of rodent carcinogens is an important task in risk assessment of chemicals. SAR methods were proposed to reduce the number of animal experiments. Most of these methods ignore information about organ-specificity of tumorigenesis. Our study was aimed at the creation of classification models and a freely available online service for prediction of rodent carcinogens consid...