A method of analyzing tissue features based on multiplexed biometric image data generated by multiplex staining, each multiplexed biometric image comprising a field of view of a stained sample, the method comprising: storing a data set on a storage device comprising cell profile data comprising multiplexed biometric images capturing the expression of a plurality of biomarkers with respect to a plurality of fields of view in which individual cells are delineated and segmented into compartments, wherein the cell profile data is generated from a plurality of tissue samples drawn from a cohort of patients having a commonality, the data set further comprising an association of the cell profile data with at least one piece of meta-information including a field of view level assessment or a patient-level assessment related to the commonality; calculating at least one cell feature based on the cell's expression of each of the plurality of biomarkers, wherein the at least one cell feature includes a selection of one of nucleus intensity ratio, membrane intensity ratio and cytoplasm intensity ratio calculated using the expression of at least one of the plurality of biomarkers; calculating a first moment for each of the plurality of fields of view from each of the at least one cell feature; and examining a plurality of combinations of attributes comprising the calculated first moments for an association with the at least one piece of meta-information including the field of view level assessment or the patient-level assessment related to the commonality; selecting one of the plurality of combinations of attributes comprising a predictive combination of attributes based on a comparison of the performance of at least one model of the plurality of combinations of attributes to a pre-defined threshold, wherein the performance of the at least one model of the plurality of combinations of attributes is evaluated by evaluating metrics of predictive performance selected from sensitivity, specificity and concordance, wherein the one combination is selected based on the metrics. storing a data set on a storage device comprising cell profile data comprising multiplexed biometric images capturing the expression of a plurality of biomarkers with respect to a plurality of fields of view in which individual cells are delineated and segmented into compartments, wherein the cell profile data is generated from a plurality of tissue samples drawn from a cohort of patients having a commonality, the data set further comprising an association of the cell profile data with at least one piece of meta-information including a field of view level assessment or a patient-level assessment related to the commonality; calculating at least one cell feature based on the cell's expression of each of the plurality of biomarkers, wherein the at least one cell feature includes a selection of one of nucleus intensity ratio, membrane intensity ratio and cytoplasm intensity ratio calculated using the expression of at least one of the plurality of biomarkers; calculating a first moment for each of the plurality of fields of view from each of the at least one cell feature; and examining a plurality of combinations of attributes comprising the calculated first moments for an association with the at least one piece of meta-information including the field of view level assessment or the patient-level assessment related to the commonality; selecting one of the plurality of combinations of attributes comprising a predictive combination of attributes based on a comparison of the performance of at least one model of the plurality of combinations of attributes to a pre-defined threshold, wherein the performance of the at least one model of the plurality of combinations of attributes is evaluated by evaluating metrics of predictive performance selected from sensitivity, specificity and concordance, wherein the one combination is selected based on the metrics.