Given the exponential growth of biomedical data, researchers are faced with numerous challenges in extracting and interpreting information from these large, high-dimensional, incomplete, and often noisy data. To facilitate addressing this growing concern, the "Patterns in Biomedical Data-How do we find them?" session of the 2017 Pacific Symposium on Biocomputing (PSB) is devoted to exploring pa...

In recent year, we have seen a growing interest in computational methods based upon natural phenomena with biologically inspired techniques, such as cellular automata, immune human systems, neural networks, DNA and molecular computing. Some of these solution techniques are classified under the realm of a general paradigm, called biocomputing. In this paper, we propose a security system for frau...

Sequence databases of today require frequent updating. Mirror procedures to copy incrementally updated databases as cumulative sets are the preferred method and can be implemented by straightforward scripting. However, limited bandwidth of networks and the increase of data require more powerful paradigms to reduce the workload reliably. We suggest the List Update Processing (LUP) principle. The...

In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points on the circle’s circumference. Delogne (Proc. IMEKO-Symp. Microwave Measurements 1972, 117-123) has proposed an estimator which has been shown by Kåsa (IEEE Trans. Instrum. Meas. 25, 1976, 8-14) to be convenient for its ease of analysis and computation. Using Chan’s circular functional model to de...

A prototype course on biocomputing was delivered via international computer networks in early summer 1995. The course lasted 11 weeks, and was offered free of charge. It was organized by the BioComputing Division of the Virtual School of Natural Sciences, which is a member school of the Globewide Network Academy. It brought together 34 students and 7 instructors from all over the world, and cov...

Increased competition for viewers’ time is threatening the viability of publicservice broadcasters (PSBs) around the world. Changing regulations regarding advertising minutes might increase revenues, but little is known about the structure of advertising demand. To address this problem, we collect a unique dataset on monthly impacts (quantities) and prices of UK television channels between 2002...

This article traces one important trajectory in the history of expert systems. Through a collaboration between Edward Feigenbaum and geneticist Joshua Lederberg, Nobel Laureate Medicine, AI became deeply connected to life sciences. Biology was crucial test bed for some Feigenbaum's systems and, long term, these had transformative effect on biology. In particular, work his collaborators students...

Glioblastoma multiforma (GBM) is one of the most aggressive tumors of the central nervous system. It can be represented by two components: a proliferative component with a mass effect on brain structures and an invasive component. GBM has a distinct pattern of spread showing a preferential growth in the white fiber direction for the invasive component. By using the architecture of white matter ...

Quantum search algorithms are considered in the context of protein sequence comparison in biocomputing. Given a sample protein sequence of length m (i.e m residues), the problem considered is to find an optimal match in a large database containing N residues. Initially, Grover’s quantum search algorithm is applied to a simple illustrative case namely where the database forms a complete set of s...