Abstract: Embodiments of this invention include application of new inferential methods to analysis of complex biological information, including gene networks. New methods include modifications of Bayesian inferential methods and application of those methods to determining cause and effect relationships between expressed genes, and in some embodiments, for determining upstream effectors of regulated genes. Additional modifications of Bayesian methods include use of time course data and use of gene disruption data to infer causal relationships between expressed genes. Other embodiments include the use of bootstrapping methods and determination of edge effects to more accurately provide network information between expressed genes. Information about gene networks can be stored in a memory device and can be transmitted to an output device, or can be transmitted to remote location.

Abstract: The present invention provides methods of monitoring the progression of a disease condition associated with angiogenesis or vassculogenesis in a human subject in which a quantitative determination of the transcript level of at least one gene shown in Table 1 (by which is meant one or more of any of Tables 1a to 1f) in a sample comprising cells obtained from the site of said disease is made, and compared with the transcript level of at least one gene obtained from a control sample of cells. The transcripts of Table 1 are found to response to VEGF in a statistically significant manner under a variety of different conditions, including following serum withdrawal. The invention also provides gene chip arrays consisting of all or some of the transcripts together with appropriate controls which can be used in the methods described.