Latest progress in biology, medical science, bioinformatics, and biotechnology has become important and tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns in large databases. This paper bridge the two fields, data mining and bioinformatics for successful mining of biological data. Microarrays constitute a new platform which allows the discovery and characterization of proteins
The main scope of this thesis is the application of biostatistical methods to genomic and proteomic ...
This paper looks at the use of Data Mining in the domain of Bioinformatics. Knowledge-discovery tech...
Bioinformatics is the science of managing, mining, and in-terpreting information from biological seq...
Latest progress in biology, medical science, bioinformatics, and biotechnology has become important ...
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitor...
In this chapter, we discuss the analysis of biomedical, DNA, and protein data. A detailed discussion...
With the rapid progress of bio-techniques of post genomic era, more and more bio-information needs t...
DNA microarray technology produces large amounts of data. For data mining of these datasets, b...
Microarray technology arguably has created a revolution in the field of biomedical research, providi...
"The area of microarrays has evolved from genomics, and has been applied to proteomics and single ce...
The advances known by Microarray technology have provided birth to enormous ameliorations and invest...
DNA microarray technology produces large amounts of data. For data mining of these datasets, backgro...
Abstract. As the human genome project has been completed recently, biologists are confronted by coun...
Knowledge in genomics and proteomics has exploded in the last two decades. This is in part due to ke...
textabstractThis thesis describes the development of text-mining algorithms for molecular biology,...
The main scope of this thesis is the application of biostatistical methods to genomic and proteomic ...
This paper looks at the use of Data Mining in the domain of Bioinformatics. Knowledge-discovery tech...
Bioinformatics is the science of managing, mining, and in-terpreting information from biological seq...
Latest progress in biology, medical science, bioinformatics, and biotechnology has become important ...
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitor...
In this chapter, we discuss the analysis of biomedical, DNA, and protein data. A detailed discussion...
With the rapid progress of bio-techniques of post genomic era, more and more bio-information needs t...
DNA microarray technology produces large amounts of data. For data mining of these datasets, b...
Microarray technology arguably has created a revolution in the field of biomedical research, providi...
"The area of microarrays has evolved from genomics, and has been applied to proteomics and single ce...
The advances known by Microarray technology have provided birth to enormous ameliorations and invest...
DNA microarray technology produces large amounts of data. For data mining of these datasets, backgro...
Abstract. As the human genome project has been completed recently, biologists are confronted by coun...
Knowledge in genomics and proteomics has exploded in the last two decades. This is in part due to ke...
textabstractThis thesis describes the development of text-mining algorithms for molecular biology,...
The main scope of this thesis is the application of biostatistical methods to genomic and proteomic ...
This paper looks at the use of Data Mining in the domain of Bioinformatics. Knowledge-discovery tech...
Bioinformatics is the science of managing, mining, and in-terpreting information from biological seq...