Titlebook: Data Mining and Bioinformatics; First International Mehmet M. Dalkilic,Sun Kim,Jiong Yang Conference proceedings 2006 Springer-Verlag Berl

柏樹

A Biological Text Retrieval System Based on Background Knowledge and User Feedback,approach. Experimental results on MEDLINE abstracts and different keyword inputs show that the system can filter a large number of irrelevant documents in a reasonable time while keeping most of the useful documents. The results also show that the system is robust against different inputs and parameter settings.

noxious

滴注

An Efficient Storage Model for the SBML Documents Using Object Databases,ormat (for data exchange) or in a visual graphs (for intuitive understanding). Real experiments show that our approach is superior to the one using conventional relational databases in the aspects of the modeling capability, storage requirements, and data quality.

ARCHE

Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering,ncy of occurrences a gene contributing to the within sample difference underline the contributions of genes in defining the biological states. We tested the method on three datasets, and identified the most important gene-pairs to drive the phenotypic differences.

Infusion

TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets, on the transaction space. Moreover, TP+close combined efficient pruning and effective optimizing methods. Several experiments on real-life gene expression datasets showed that TP+close was faster than RERII and CARPENTER, two existing algorithms.

Forsake

Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences,erved essential attributes decreases when the phylogenetic distance between the species increases. Specifically, one A-U pair, which produces the U at the start position of most mature miRNAs, in the pre-miRNAs is found to be well conserved in different species for the purpose of biogenesis.

有毒

heterogeneous

Nate Probasco,Estelle Paranque,Claire Jowitt with applying current decision tree implementations for high-dimensional data sets is their tendency to assign the same scores for multiple attributes. In this paper, we propose two distribution-dependant criteria for decision trees to improve their usefulness for microarray classification.

悲痛

Onerous

Bioinformatics at Microsoft Research,entific workflows, and biological visualization..Computer science researchers also bring new perspectives to problems in biology, such as the use of schema-matching techniques in merging ontologies, machine learning in vaccine design, and process algebra in understanding metabolic pathways.