Patent ID: 8885912

Claim:
A computer-implemented method of analyzing tissue features based on multiplexed biometric images, the method comprising: storing in a computer-readable medium a data set comprising cell profile data for a biomarker with respect to a plurality of fields of view and an association of the cell profile data with meta-information including an assessment for each field of view, the cell profile data including biomarker expression intensity data for a plurality of cell features in a field of view, the biomarker expression intensity data obtained from multiplexed biometric images capturing the expression of the biomarker with respect to a field of view in which individual cells are delineated and segmenting into compartments; normalizing the biomarker expression intensity data for a first cell feature in the plurality of cell features across the plurality of fields of view to obtain a distribution of normalized expression values for the first cell feature for each field of view and where normalizing comprises; taking a logarithm of the biomarker expression intensity data for the first cell feature for each field of view to obtain a distribution of log biomarker expression intensity data for the first cell feature for each field of view; and shifting the distribution of log biomarker intensity expression data for the first cell feature for each field of view such that a median of each distribution is at the same numerical value for all fields of view to produce a distribution of normalized expression values for the first cell feature for each field of view; calculating a plurality of threshold values for the first cell feature from a plurality of normalized expression cutoffs applied to the distributions of normalized expression values for all fields of view wherein the threshold values are from 80-99% and determined from a random forest classification model; determining a plurality of positive cell percentages for the first cell feature for each field of view, wherein each positive cell percentage in the plurality of positive cell percentages corresponds to a threshold value applied to the distribution of normalized expression values for the first cell feature for the field of view; correlating the positive cell percentages for each threshold value for the first cell feature with the meta-information for the fields of view; repeating the normalizing, calculating, determining, and correlating steps for a second cell feature; identifying a combination of one of the plurality of cell features and one of the plurality of normalized expression cutoffs that most closely correlates the positive cell percentages with the meta-information for the fields of view; and defining the percentage of positive cells.