
In this dissertation project, clustering algorithms have been implemented and applied to DNA microarray data analysis. An efficient and robust software system called GeneSpy has been eventually developed. It provides many of the methods drawn from standard statistical cluster analysis. Presented to the user is a computational and graphical environment for clustering and classifying data from DNA microarray experiments. Master of Science (Bioinformatics)
:Engineering::Computer science and engineering::Computing methodologies::Pattern recognition [DRNTU], :Engineering::Computer science and engineering::Computer applications::Life and medical sciences [DRNTU]
:Engineering::Computer science and engineering::Computing methodologies::Pattern recognition [DRNTU], :Engineering::Computer science and engineering::Computer applications::Life and medical sciences [DRNTU]
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
