System architecture for cohorting sensor data

Abstract

A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

1 . (canceled) 
     
     
         2 . A computer-implemented method for determining first and second sets of matching test items using one or more sensors, the method comprising:
 obtaining, using the one or more sensors, a first set of test results indicative of interactions between a first target item and a plurality of test items;   transmitting the first set of test results to an analysis computer system;   identifying, using the analysis computer system, a first set of matching test items that interact with the first target item beyond a first threshold based on the first set of test results;   obtaining, using the one or more sensors, a second set of test results indicative of reactions between the second target item and the plurality of test items;   transmitting the second set of test results to the analysis computer system;   identifying, using the analysis computer system, a second set of matching test items that interact with the second target item beyond a second threshold based on the second set of test results;   determining, based on the first and second sets of matching test items, a characteristic common to each of the first and second sets of matching test items; and   based on the first and second sets of matching test items and on the characteristic, generating a new set of test results.   
     
     
         3 . The computer-implemented method of  claim 2 , wherein the first set of test results are indicative of chemical interactions between the first target item and the plurality of test items. 
     
     
         4 . The computer-implemented method of  claim 2 , further comprising:
 generating visualization data to display a graphical distribution representation of at least one of the first or second sets of matching test items; and   receiving a filter selection for reducing a number of the first or second sets of matching test items to a filtered set of test items, wherein the filter selection comprises user selection within the graphical distribution representation.   
     
     
         5 . The computer-implemented method of  claim 4 , wherein determining the characteristic common to each of the first and second sets of matching test items is further based on the filter selection. 
     
     
         6 . The computer-implemented method of  claim 2 , further comprising:
 generating visualization data to display a graphical representation of at least one of the first or second sets of matching test items.   
     
     
         7 . The computer-implemented method of  claim 6 , wherein the visualization data are configured to depict information regarding the test items according to a measurement metric selected by a user. 
     
     
         8 . The computer-implemented method of  claim 7 , wherein the visualization data are configured to cause display of a Venn diagram, a bar graph, or both. 
     
     
         9 . The computer-implemented method of  claim 2 , wherein generating the new set of test results comprises exporting, based on the characteristic, at least one of the first or second sets of matching test items or the characteristic to a remote computing system in communication with the one or more sensors for producing the new set of test results. 
     
     
         10 . The computer-implemented method of  claim 2 , wherein the first target item comprises a chemical compound, and wherein the plurality of test items comprises organic material. 
     
     
         11 . The computer-implemented method of  claim 2 , wherein determining the characteristic further comprises receiving, via a user interface, at least one of: a method of interaction of at least one of the first or second sets of matching test items with the plurality of targets, a gene target of the matching test items, a threshold of interaction of at least one of the first or second sets of matching test items with the plurality of targets, a type of test item of at least one of the first or second sets of matching test items, a type of target of the plurality of targets that interacted with at least one of the first or second sets of matching test items, or any combination thereof. 
     
     
         12 . The computer-implemented method of  claim 4 , wherein receiving the filter selection comprises receiving, via a user interface, at least one of a selection of individual elements of at least one of the first or second sets of matching test items or a range of values of at least one of the first or second sets of matching test items. 
     
     
         13 . The computer-implemented method of  claim 2 , wherein the first and second sets of matching test items comprises experimental data. 
     
     
         14 . A computing system for determining first and second sets of matching test items using one or more sensors, the computing system comprising:
 a computer readable storage medium having program instructions embodied therewith; and   one or more processors configured to execute the program instructions to cause the computing system to:
 obtain, using the one or more sensors, a first set of test results indicative of interactions between a first target item and a plurality of test items; 
 transmit the first set of test results to an analysis computer system; 
 identify, using the analysis computer system, a first set of matching test items that interact with the first target item beyond a first threshold based on the first set of test results; 
 obtain, using the one or more sensors, a second set of test results indicative of reactions between the second target item and the plurality of test items; 
 transmit the second set of test results to the analysis computer system; 
 identify, using the analysis computer system, a second set of matching test items that interact with the second target item beyond a second threshold based on the second set of test results; 
 determine, based on the first and second sets of matching test items, a characteristic common to each of the first and second sets of matching test items; and 
 based on the first and second sets of matching test items and on the characteristic, generate a new set of test results. 
   
     
     
         15 . The computing system of  claim 14 , wherein the first set of test results are indicative of chemical interactions between the first target item and the plurality of test items. 
     
     
         16 . The computing system of  claim 14 , wherein the one or more processors are further configured to execute the program instructions to cause the computing system to:
 generate visualization data to display a graphical distribution representation of at least one of the first or second sets of matching test items; and   receive a filter selection for reducing a number of the first or second sets of matching test items to a filtered set of test items, wherein the filter selection comprises user selection within the graphical distribution representation.   
     
     
         17 . The computing system of  claim 16 , wherein determining the characteristic common to each of the first and second sets of matching test items is further based on the filter selection. 
     
     
         18 . The computing system of  claim 14 , wherein the one or more processors are further configured to execute the program instructions to cause the computing system to:
 generate visualization data to display a graphical representation of at least one of the first or second sets of matching test items.   
     
     
         19 . The computing system of  claim 18 , wherein the visualization data are configured to depict information regarding the test items according to a measurement metric selected by a user. 
     
     
         20 . The computing system of  claim 19 , wherein the visualization data are configured to cause display of a Venn diagram, a bar graph, or both. 
     
     
         21 . The computing system of  claim 14 , wherein generating the new set of test results comprises exporting, based on the characteristic, at least one of the first or second sets of matching test items or the characteristic to a remote computing system in communication with the one or more sensors for producing the new set of test results.