Event models for tumor classification with SAGE gene expression data

Serial Analysis of Gene Expression (SAGE) is a relatively new method for monitoring gene expression levels and is expected to contribute significantly to the progress in cancer treatment by enabling a precise and early diagnosis. A promising application of SAGE gene expression data is classification of tumors. In this paper, we build three event models (the multivariate Bernoulli model, the multinomial model and the normalized multinomial model) for SAGE data classification. Both binary classification and multicategory classification are investigated. Experiments on two SAGE datasets show that the multivariate Bernoulli model performs well with small feature sizes, but the multinomial performs better at large feature sizes, while the normalized multinomial performs well with medium feature sizes. The multinomial achieves the highest overall accuracy.

Oral agreements: estoppel, constructive trusts and restitution

Analyses the House of Lords judgment in Cobbe v Yeoman's Row Management Ltd in relation to claims by the prospective purchaser under an oral agreement for sale of a block of flats based on proprietary estoppel, a constructive trust and common law restitution brought against the owner of the property who sought to resile from the agreement after the purchaser had, at considerable expense, obtained planning permission to redevelop the property in reliance on assurances given by the owner that if permission was granted the sale would be honoured.