Outputs (19)

Developing a logical model of yeast metabolism (2001)
Journal Article
Reiser, P., King, R., Muggleton, S., Bryant, C., Oliver, S., & Kell, D. (2001). Developing a logical model of yeast metabolism

With the completion of the sequencing of genomes of increasing numbers of organisms, the focus of biology is moving to determining the role of these genes (functional genomics). To this end it is useful to view the cell as a biochemical machine: it... Read More about Developing a logical model of yeast metabolism.

Knowledge discovery in databases: application to chromatography (1998)
Journal Article
Bryant, C., & Rowe, R. (1998). Knowledge discovery in databases: application to chromatography. Trends in Analytical Chemistry, 17(1), 18-24. https://doi.org/10.1016/S0165-9936%2897%2900094-0

This paper reviews emerging computer techniques for discovering knowledge from databases and their application to various sets of separation data. The data-sets include the separation of a diverse range of analytes using either liquid, gas or ion chr... Read More about Knowledge discovery in databases: application to chromatography.

Knowledge discovery in databases: application to chromatography (1998)
Journal Article
Bryant, C., & Rowe, R. (1998). Knowledge discovery in databases: application to chromatography. Trends in Analytical Chemistry, 17(1), 18-24. https://doi.org/10.1016/S0165-9936%2897%2900094-0

This paper reviews emerging computer techniques for discovering knowledge from databases and their application to various sets of separation data. The data-sets include the separation of a diverse range of analytes using either liquid, gas or ion chr... Read More about Knowledge discovery in databases: application to chromatography.

Using inductive logic programming to discover knowledge hidden in chemical data (1998)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1998). Using inductive logic programming to discover knowledge hidden in chemical data. Chemometrics and Intelligent Laboratory Systems, 36(2), 111-123. https://doi.org/10.1016/S0169-7439%2897%2900023-3

This paper demonstrates how general purpose tools from the field of Inductive Logic Programming (ILP) can be applied to analytical chemistry. As far as these authors are aware, this is the first published work to describe the application of the ILP t... Read More about Using inductive logic programming to discover knowledge hidden in chemical data.

Using inductive logic programming to discover knowledge hidden in chemical data (1998)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1998). Using inductive logic programming to discover knowledge hidden in chemical data. Chemometrics and Intelligent Laboratory Systems, 36(2), 111-123. https://doi.org/10.1016/S0169-7439%2897%2900023-3

This paper demonstrates how general purpose tools from the field of Inductive Logic Programming (ILP) can be applied to analytical chemistry. As far as these authors are aware, this is the first published work to describe the application of the ILP t... Read More about Using inductive logic programming to discover knowledge hidden in chemical data.

Towards an expert system for enantioseparations: induction of rules using machine learning (1996)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1996). Towards an expert system for enantioseparations: induction of rules using machine learning. Chemometrics and Intelligent Laboratory Systems, 34(1), 21-40. https://doi.org/10.1016/0169-7439%2896%2900016-0

A commercially available machine induction tool was used in an attempt to automate the acquisition of the knowledge needed for an expert system for enantioseparations by High Performance Liquid Chromatography using Pirkle-type chiral stationary phase... Read More about Towards an expert system for enantioseparations: induction of rules using machine learning.

Towards an expert system for enantioseparations: induction of rules using machine learning (1996)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1996). Towards an expert system for enantioseparations: induction of rules using machine learning. Chemometrics and Intelligent Laboratory Systems, 34(1), 21-40. https://doi.org/10.1016/0169-7439%2896%2900016-0

A commercially available machine induction tool was used in an attempt to automate the acquisition of the knowledge needed for an expert system for enantioseparations by High Performance Liquid Chromatography using Pirkle-type chiral stationary phase... Read More about Towards an expert system for enantioseparations: induction of rules using machine learning.

A review of expert systems for chromatography (1994)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1994). A review of expert systems for chromatography. Analytica Chimica Acta, 297(3), 317-347. https://doi.org/10.1016/0003-2670%2894%2900209-6

Expert systems for chromatography are reviewed. A taxonomy is proposed that allows present (and future) expert systems in this area to be classified and facilitates an understanding of their inter-relationship. All the systems are described focusing... Read More about A review of expert systems for chromatography.

A review of expert systems for chromatography (1994)
Journal Article
Bryant, C., Adam, A., Taylor, D., & Rowe, R. (1994). A review of expert systems for chromatography. Analytica Chimica Acta, 297(3), 317-347. https://doi.org/10.1016/0003-2670%2894%2900209-6

Expert systems for chromatography are reviewed. A taxonomy is proposed that allows present (and future) expert systems in this area to be classified and facilitates an understanding of their inter-relationship. All the systems are described focusing... Read More about A review of expert systems for chromatography.