microarray

It is very difficult to get this information by microarray analysis alone.

Studies such as these may ultimately help improve microarray data quality.

During the years 1995-1997, the number of reports featuring microarray data was less than ten.

However, this is only one type of analysis that can be accomplished with microarray data.

Today, it is commonly done using microarray and gel technology.

There are already programs available for microarray data analysis on various platforms.

The technique of tissue microarray was developed to address these issues.

On a single microarray, approximately a million interactions can be analyzed.

By microarray analysis, it is very difficult to distinguish between two similar genes.

Statistical procedures for the analysis of microarray data are discussed above.

The proposed method is not restricted to any specific microarray technology.

Out of the seventeen only eight provided positive results as indicated by microarray (47%).

This is in contrast to the microarray data that suggested they were down regulated (Table 1).

Then in 1998, he was asked to collaborate in a microarray project.

The errors on the microarray are normally distributed with precision.

There are three main elements to consider when designing a microarray experiment.

The hybridization and washing conditions were the same as for regular microarray.

Any errors in the measurements will include all aspects of the microarray platform.

However, it was not really a follow-up study because a different chip was used for the microarray data.

In the up-regulated genes, only 47 % proved to support the results from the microarray data.

Several algorithms have been developed to analyze microarray data both in the private and public sectors.

It is important to note that the data in Figures 2and 3do not address the accuracy of the microarray platform.

Despite this, the majority of the microarray elements appeared to be expressed in both organs.

However, in the context of microarray data analysis, multiple testing concerns are forefront.

Discussion Microarray technology has tremendous potential in cancer research and diagnostics.