Microarray performance management system
First Claim
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1. A method of removing nuisance distortions from array data, said method comprising the steps of:
- inputting signals generated from reading an array containing biological data;
applying at least one algorithm to the inputted signals to estimate and remove at least one nuisance distortion from the signals representing the array data; and
outputting signals representative of the biological data after removal of the at least one nuisance distortion.
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Abstract
Systems, methods and computer readable media for evaluating profiles of multi-variable data values. Systems, methods and computer readable media for removing nuisance distortions from data to provide “cleaner”, more reliable data.
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Citations
49 Claims
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1. A method of removing nuisance distortions from array data, said method comprising the steps of:
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inputting signals generated from reading an array containing biological data;
applying at least one algorithm to the inputted signals to estimate and remove at least one nuisance distortion from the signals representing the array data; and
outputting signals representative of the biological data after removal of the at least one nuisance distortion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A computer-implemented method of evaluating profiles of multi-variable data values, said method comprising the steps of:
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training on a training set of profiles having been previously evaluated;
determining a computer functional relationship between the training profiles and values assigned to the respective training profiles during the previous evaluation; and
applying the computer functional relationship to one or more profiles not belonging to the training set to generate evaluation values for the one or more profiles not belonging to the training set. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
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41. A method of automatically classifying and quality scoring microarrays containing biological data, said method comprising the steps of:
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training on a training set of microarrays having been previously classified and scored by one or more human inspectors;
determining a computer functional relationship between the training set and classification and scoring values assigned to the respective training microarrays in the training set by the one or more human inspectors; and
applying the computer functional relationship to one or more microarrays containing biological data and not belonging to the training set, and automatically classifying and scoring the one or more microarrays not belonging to the training set, based on the computer functional relationship. - View Dependent Claims (42, 43)
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44. A system for removing nuisance distortions from array data, said system comprising:
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means for inputting signals generated from reading an array containing biological data;
means for applying at least one algorithm to the inputted signals to estimate and remove at least one nuisance distortion from the signals representing the array data; and
means for outputting signals representative of the biological data after removal of said at least one nuisance distortion.
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45. A computer readable medium carrying one or more sequences of instructions for removing nuisance distortions from array data, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:
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inputting signals generated from reading an array containing biological data;
applying at least one algorithm to the inputted signals to estimate and remove at least one nuisance distortion from the signals representing the array data; and
outputting signals representative of the biological data after removal of said at least one nuisance distortion.
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46. A system for evaluating profiles of multi-variable data values, said system comprising:
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means for training on a training set of profiles having been previously evaluated;
means for determining a computer functional relationship between the training profiles and values assigned to the respective training profiles during the previous evaluation; and
means for applying the computer functional relationship to one or more profiles not belonging to the training set to generate evaluation values for the one or more profiles not belonging to the training set.
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47. A computer readable medium carrying one or more sequences of instructions for evaluating profiles of multi-variable data values, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:
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training on a training set of profiles having been previously evaluated;
determining a computer functional relationship between the training profiles and values assigned to the respective training profiles during the previous evaluation; and
applying the computer functional relationship to one or more profiles not belonging to the training set to generate evaluation values for the one or more profiles not belonging to the training set.
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48. A system for automatically classifying and quality scoring microarrays containing biological data, said system comprising:
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means for training on a training set of microarrays having been previously classified and scored;
means for determining a computer functional relationship between the training set and classification and scoring values assigned to the respective training microarrays in the training set; and
means for applying the computer functional relationship to one or more microarrays containing biological data and not belonging to the training set, and automatically classifying and scoring the microarrays not belonging to the training set, based on the computer functional relationship.
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49. A computer readable medium carrying one or more sequences of instructions for automatically classifying and quality scoring microarrays, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:
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training on a training set of microarrays having been previously classified and scored;
determining a computer functional relationship between the training set and classification and scoring values assigned to the respective training microarrays in the training set; and
applying the computer functional relationship to one or more microarrays containing biological data and not belonging to the training set, and automatically classifying and scoring the microarrays not belonging to the training set, based on the computer functional relationship.
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Specification