Genetic Discrimination of Grade 3 and Grade 4 Gliomas by Artificial Neural Network.

Gliomas, including anaplastic gliomas (AG; grade 3) and glioblastomas (GBM; grade 4), are malignant brain tumors associated with poor prognosis and low survival rates. Current classification systems based on histopathology have limitations due to intratumoral heterogeneity. The treatment and prognosis are distinctly different between grade 3 and grade 4 gliomas patients.

[Determination of molecular glioblastoma subclasses on the basis of analysis of gene expression].

Two glioblastoma groups, which are distinguished from each other by expression level of 416 genes (P < 0.05), were determined using a mathematical model of linear Boolean programming on the basis of gene expression data, obtained by microarray analysis of the glioblastomas and available in Gene Expression Omnibus (GEO) data base. The expression level of 15 genes was more than two-fold higher in the first group of glioblastoma (80 samples) in comparison with the second group (144 samples) and 401 genes and--more than two-fold lower as compared to the second group.

Quality assessment of data discrimination using self-organizing maps.

Motivation: One of the important aspects of the data classification problem lies in making the most appropriate selection of features. The set of variables should be small and, at the same time, should provide reliable discrimination of the classes. The method for the discriminating power evaluation that enables a comparison between different sets of variables will be useful in the search for the set of variables.

Resolving two-dimensional kinetics of the integrin αIIbβ3-fibrinogen interactions using binding-unbinding correlation spectroscopy.

Using a combined experimental and theoretical approach named binding-unbinding correlation spectroscopy (BUCS), we describe the two-dimensional kinetics of interactions between fibrinogen and the integrin αIIbβ3, the ligand-receptor pair essential for platelet function during hemostasis and thrombosis. The methodology uses the optical trap to probe force-free association of individual surface-attached fibrinogen and αIIbβ3 molecules and forced dissociation of an αIIbβ3-fibrinogen complex. This novel approach combines force clamp measurements of bond lifetimes with the binding mode to quantify the dependence of the binding probability on the interaction time.

Calculation of EEG correlation dimension: large massifs of experimental data.

Correlation dimension of reconstructed attractor (D(2)) is one of the specific values for human electroencephalogram (EEG). It makes it possible to evaluate variability of human brain functioning. There are some requirements, made for time series to be analyzed by Grassberger-Procaccia method, and EEG does not meet them perfectly.