1984
DOI: 10.1002/elps.1150050510
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Computer analysis of two‐dimensional gels: Automatic matching

Abstract: A program which automatically matches the spot patterns resolved on two-dimensional gel electrophoretograms is described. The program does not require handmatched, landmark matches for initial alignment of the spot patterns. The matching algorithm is based on a hierarchical nearest neighbor analysis. Starting with the most intense spots in the two films, the program determines if spots are equivalent by attempting to match a list of all nearby spots (a"c1uster") from each film. "Clusters" are considered to be … Show more

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Cited by 49 publications
(11 citation statements)
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“…Soft community matching can be done so as to minimize the distance between the two matrices [27]. In computer vision, community matching has been Table 1: Table of Notations done by using cluster features like position, intensity, shape and average gray-scale difference [23], and degree of match between surrounding clusters [28]. Words-based communities could be matched using TF-IDF similarity [9].…”
Section: Related Workmentioning
confidence: 99%
“…Soft community matching can be done so as to minimize the distance between the two matrices [27]. In computer vision, community matching has been Table 1: Table of Notations done by using cluster features like position, intensity, shape and average gray-scale difference [23], and degree of match between surrounding clusters [28]. Words-based communities could be matched using TF-IDF similarity [9].…”
Section: Related Workmentioning
confidence: 99%
“…Subsequently, additional spots surrounding the landmark spots were matched by shifting the overlaid images to accomodate slight variations between gels. Cross-matching of spots on multiple gels established a data base which was automatically searched by the software to identify and display polypeptides present (or absent) on specified gels [21].…”
Section: Analysis Of Polypeptide Patternsmentioning
confidence: 99%
“…Computer algorithms for 2D gel analysis, which address these problems, are the subject of an extensive literature (2,(8)(9)(10)(11)(12)(13)(14).…”
Section: Peak Finding and Matchingmentioning
confidence: 99%