A major goal in biomedical text processing is the automatic extraction of protein interaction information from scientific articles or abstracts. We approach this task with a topic-based generative model. Under the model, sentences in biomedical abstracts can be generated by either an ’interaction’ topic if they contain or discuss interacting proteins or a ’background’ topic otherwise. This stru...

This paper presents CIS, a biomedical simulation framework based on the markov random field (MRF). CIS is a discrete domain 2-D simulation framework emphasizing on the spatial interactions of biomedical entities. The probability model within the MRF framework facilitates the construction of more realistic models than deterministic differential equation approaches and cellular automata. The glob...

The current status and challenges of small animal non-invasive imaging is briefly reviewed. The advantages of non-invasive studies on living animals versus post-mortem studies are evaluated. An argument is advanced that even in post-mortem situations, non-invasive imaging may play an important role in efficiently characterizing small animal phenotypes as well as pathology. Issues of data interp...

Progress in biomedical research depends in part on being able to build on the findings of other researchers - and thereby on being able to apply others' methods to your own research. However, most of us have struggled to understand how to repeat or adapt another researcher's study because of minimal or missing details in the Methods section of a published paper. In expensive and complex experim...

Sine-Gordon equation under a quasi-periodic perturbation or a chaotic perturbation is studied. Existence of a homoclinic tube is proved. Established are chaos associated with the homoclinic tube, and ‘‘chaos cascade’’ referring to the embeddings of smaller scale chaos in larger scale chaos. 2003 Elsevier Ltd. All rights reserved.