Error curves for evaluating the quality of feature rankings.

In this article, we propose a method for evaluating feature ranking algorithms. A feature ranking algorithm estimates the importance of descriptive features when predicting the target variable, and the proposed method evaluates the correctness of these importance values by computing the error measures of two chains of predictive models. The models in the first chain are built on nested sets of top-ranked features, while the models in the other chain are built on nested sets of bottom ranked features.

Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.

The task of biomarker discovery is best translated to the machine learning task of feature ranking. Namely, the goal of biomarker discovery is to identify a set of potentially viable targets for addressing a given biological status. This is aligned with the definition of feature ranking and its goal - to produce a list of features ordered by their importance for the target concept.

Morphogenesis in robot swarms.

Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variety of functional shapes during embryonic development. This process emerges from local interactions of cells under the control of gene circuits that are identical in every cell, robust to intrinsic noise, and adaptable to changing environments. Constructing human technology with these properties presents an important opportunity in swarm robotic applications ranging from construction to exploration.

Neuroblastoma tumorigenesis is regulated through the Nm23-H1/h-Prune C-terminal interaction.

Nm23-H1 is one of the most interesting candidate genes for a relevant role in Neuroblastoma pathogenesis. H-Prune is the most characterized Nm23-H1 binding partner, and its overexpression has been shown in different human cancers. Our study focuses on the role of the Nm23-H1/h-Prune protein complex in Neuroblastoma.

ADP-ribosylation factor guanine nucleotide-exchange factor 2 (ARFGEF2): a new potential biomarker in Huntington's disease.

Microarray searches have revealed potential genetic biomarkers in a wide variety of human diseases. Identification of biomarkers for disease status is particularly important in chronic neurodegenerative diseases where brain tissue cannot be sampled. A previous study identified 12 genes from microarray analysis as associated with Huntington's disease, although the relationships had not been validated.

Finding explained groups of time-course gene expression profiles with predictive clustering trees.

In biology, analyzing time course data is usually a two-step process, beginning with clustering of similar temporal profiles. After the initial clustering, depending on the expert's knowledge, descriptions of the clusters are elucidated (e.g.

[Species structure of Salmonellae isolated from mammals, poultry, feed mixtures and the environment 1976-1980].

Studied was the species structure of Salmonella strains isolated in this country from mammals, birds, food products, combined feeds, and objects of the environment over the 1976-1980 period. Differentiated were a total of 10,794 Salmonella cultures, belonging to 67 serotypes of 10 serologic groups after Kauffmann-White's scheme. Most wide-spread proved to be the S.

[Isolation of R-phase strains of S. senftenberg form fish meal].

Studied are being a total of 40 strains of S. senftenberg, which at the time of isolation proved to be in R-phase z43, with an antigenic formula 3,19:z43:--. Splitting of the normal S-phase gst is possible at reseeding the cultures from 5 to 10 times in semisolid 0.

[Structure of the Salmonella from animals, birds and the environment through the period of 1970-1975].

Studied were biochemically and serologically the species of a total of 8738 Salmonella cultures. Most of the investigated strains belonged to subgenus I--95 species; to subgenus II belonged one species (Salmonella sofia); to subgenus III belonged 4 species: Salmonella arizonae 11:b:1, 7; Salmonella arizonae 35:r:z35; Salmonella arizonae 35:z52:1, 5, 7; Salmonella arizonae 58:rz53:z57 of three serologic groups. The attention was focused on more than 20 (new to this country) Salmonellae among which a Salmonella bulgaria species new to the Salmonella genus.

[Experience in controlling the Salmonella carrier state on a pedigree poultry breeding farm].

Systematic microbiologic control was carried out in the 1972-1975 period on an elite poultry farm whereas from the 23,724 samples studied, taken from objects of the epizootic chain forage-birds-hatchery, 78 cultures of Salmonella organisms of 14 species or 0.32 per cent of the total number of samples were isolated. A trend was observed toward the year-to-year drop in the number of positive findings of Salmonellae, and by the end of 1975 the results were negative.

[Sanitization of salmonella-contaminated forage mixtures during granulation].

Studied were a total of 52 samples of forage mixtures prior to and after pelleting from three forage plants in this country, in terms of total bacterial count and the relative share of coli bacteria and Salmonellae. Two experiments were layed out under productional conditions for peletting a forage mixture at 92-94 degrees C being contaminated with Salmonella bacteria at the rate of 10(3) and 10(2) per gram of mixture. Results showed that pelleting processes reduce both the total bacterial count and the coli and Salmonella counts, the microbial cells being in an anabiotic status.

[Phage typing of strains of S. enteritidis isolated in Bulgaria].

Studied were a total of 221 strains of Salmonella enteritidis isolated from birds, pigs, cattle, dogs, rodents, forage, environment, food products of animal origin, and human beings, in terms of their phage typing, in order to study the epizootiology of the foci of infection. Twelve phages were established: 2a, 3a, 4a, 5a, 6a, 7a, 8a, 9a, 15, 19, 20 and 21. Most widely distributed proved phage type 6a, followed by phage type 2a.