A chip-based assay that allows parallel detection of thousands of samples, such as DNA, at once.

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Reusable microarray chips

Microarray chips allow us to conduct many expression experiments in parallel to each other but they can be used only once as far as i know. Are there reusable microarray chips? Have people ever tried ...
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Gene perturbation, what is it used for, explain to computer scientists? [closed]

I am trying to build a gene regulation network, and I need some basic knowledge of it. So, in gene research, we perturb genes. Such as knock down them? Can people tell 2 or 3 experiment methods to ...
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What information do microarray image convey?

OK I have read that a cell generates 4 kinds of digital (to be precise discrete) data namely DNA, RNA, Protein (sequences that can be encoded as string sequences of nucleotides/ amino acids) and micro ...
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Single channel micro arrays

What does single channel microarray mean? When is it used? Thank you for your case in advance.
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Are there any differences between qRT-PCR and GEO (microarray data from NCBI) regarding dealing with internal control genes?

As we know, when we do qRT-PCR, the two most commonly used methods are absolute quantification and relative quantification, both the methods are involved in dealing with normalization of house-keeping ...
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Microarray gene expression matrix format

After scanning the microarray chip we get RAW data with different formats depending on the type of microarray used. However, these RAW data files can be normalized and processed to generate gene ...
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At which step apply a detection filter when preprocessing microarray data? (Before/After normalization, batch effects removal)

I am trying to understand what is the best practice when preprocessing microarray data using a detection filter (on scanner p-value). Suppose I have a microarray dataset that I have to normalize with ...
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Microarray data and analysis tools

Microarray has various uses, and to analyse the data a main function classification is used. There are many methods used to classify the data but what are the best and most frequently used methods? ...