Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms such as K-means, hierarchical clustering, SOM, etc, genes are partitioned into groups based on the similarity beten their expression profiles. In this way, functionally related genes are identified. As the amount of laboratory data in molecular biology grows exponentially each year due to advanced technologies such as Microarray, new efficient and effective methods for clustering must be developed to process this growing amount of biological data.
['Yi Lu', 'Shiyong Lu', 'Farshad Fotouhi', 'Youping Deng', 'Susan J. Brown']
I am writing a research paper on a idea Incremental genetic K-means algorithm and its application in gene expression data analysis.
[{"from": "human", "value": "I am writing a research paper on a idea Incremental genetic K-means algorithm and its application in gene expression data analysis."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms such as K-means, hierarchical clustering, SOM, etc, genes are partitioned into groups based on the similarity beten their expression profiles. In this way, functionally related genes are identified. As the amount of laboratory data in molecular biology grows exponentially each year due to advanced technologies such as Microarray, new efficient and effective methods for clustering must be developed to process this growing amount of biological data."}]