Abstract: Disclosed are methods and software for biological data analysis. Specifically, provided are methods, computer programs and systems for analyzing data in the form of various intensity measurements obtained from an oligonucleotides microarray experiment. Such data may be microarray data obtained from an experiment conducted to determine copy number of a human genetic sample. The data are corrected by application of one or more covariate adjusters which may be applied simultaneously and which may be selected by a user. Further, the present application provides methods of filtering image data and signal restoration of image data using log2 ratio data.

Abstract: Disclosed are methods and software for biological data analysis. Specifically, provided are methods, computer programs and systems for analyzing data in the form of various intensity measurements obtained from an oligonucleotides microarray experiment. Such data may be microarray data obtained from an experiment conducted to determine copy number of a human genetic sample. The data are corrected by application of one or more covariate adjusters which may be applied simultaneously and which may be selected by a user. Further, the present application provides methods of filtering image data and signal restoration of image data using log2 ratio data.

Abstract: Disclosed are methods and software for biological data analysis. Specifically, provided are methods, computer programs and systems for analyzing data in the form of various intensity measurements obtained from an oligonucleotides microarray experiment. Such data may be microarray data obtained from an experiment conducted to determine copy number of a human genetic sample. The data are corrected by application of one or more covariate adjusters which may be applied simultaneously and which may be selected by a user. Further, the present application provides methods of filtering image data and signal restoration of image data using log2 ratio data.

Abstract: Methods, systems, and computer program products for estimating the location of a probe cell in an image of a high-density microarray DNA chip interrogate a plurality of different closely spaced estimated locations to identify the most likely estimated location of the probe cell in the image.

Abstract: Methods, systems, and computer program products for analyzing images of high density microarray chips analyze the image by estimating background using a blurring kernel and/or a spatial multivariate statistical model of the background. The methods, systems, and computer program products can employ a multivariate statistical model and/or a blurring kernel to obtain more representative hybridization intensity results, particularly for pixels in boundary regions of the probe cells. The methods allow for alternative microarray configurations of nucleic acid probes and do not require the use of mismatch probes and can be independent of the type of nucleotide sequence used. Associated microarrays and systems are also described.

Abstract: Methods, systems, and computer program products for estimating the location of a probe cell in an image of a high-density microarray DNA chip interrogate a plurality of different closely spaced estimated locations to identify the most likely estimated location of the probe cell in the image.