System architecture for cohorting sensor data

Patent metadata

Field	Value
Publication number	US-11768595-B2
Application number	US-202218053712-A
Country	US
Kind code	B2
Filing date	Nov 8, 2022
Priority date	Jul 1, 2019
Publication date	Sep 26, 2023
Grant date	Sep 26, 2023

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.

First claim

What is claimed is:

1. A computer-implemented method for determining a cohort among one or more data sets obtained from one or more sensors, the method comprising:
receiving one or more data sets each associated with a different target item and a plurality of test items;
for each of the one or more data sets, determining one or more of the test items interacting with the respective target item within a threshold parameter;
identifying one or more matching test items that interact with each of the respective target items within the corresponding threshold parameter;
generating visualization data to display a graphical distribution representation of the determined test items;
receiving a filter selection for reducing a number of the determined test items to a filtered set of test items, wherein the filter selection comprises user selection within the graphical distribution representation;
identifying, based on the filter selection, a characteristic common to the matching test items in how each of the matching test items interacts with the respective target items;
and
based on the matching test items and on the characteristic, generating, in conjunction with the one or more sensors, a new data set at a computing system.

2. The method of claim 1 , wherein the visualization data are configured to depict information regarding the test items according to a measurement metric selected by the user.

3. The method of claim 1 , further comprising exporting, based on the characteristic, the matching test items, the characteristic, or both to a computing system in communication with the one or more sensors for producing a new data set.

4. The method of claim 1 , wherein the visualization data includes visual objects representing each of the selected data sets and a matching items object representing the matching test items.

5. The method of claim 4 , wherein the visualization data is configured to cause display of a Venn diagram, a bar graph, or both.

6. The method of claim 1 , wherein the plurality of data sets comprises representations of the interactions between chemical compounds and organic material.

7. The method of claim 1 , wherein identifying a characteristic of the matching test items comprises receiving from a user a method of interaction of the matching test items with the plurality of targets, a gene target of the matching test items, a threshold of interaction of the matching test items with the plurality of targets, a type of test item of the matching test items, a type of target of the plurality of targets that interacted with the matching test items, or any combination thereof.

8. The method of claim 7 , wherein receiving from a user a filter selection comprises receiving a filter selection from a user, the filter selection resulting in a subsection of the matching test items, the filter selection comprising a selection of individual elements of the matching test items, a range of values of matching test items, or both.

9. The method of claim 1 , further comprising obtaining the plurality of data sets using the one or more sensors.

10. The method of claim 1 , wherein the plurality of data sets comprises experimental data.

11. The method of claim 1 , wherein the plurality of data sets comprises at least three data sets.

12. The method of claim 1 , wherein generating the visualization data further comprises indicating a relationship between the number of the matching test items and a number of total test items.

13. A computing system for determining a cohort among one or more data sets obtained from 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:
receive one or more data sets each associated with a different target item and a plurality of test items;
for each of the one or more data sets, determine one or more of the test items interacting with the respective target item within a threshold parameter;
generate a graphical user interface displaying a graphical distribution representation of the determined test items, wherein the graphical user interface is configured to receive from a user a filter selection for reducing a number of the test items to a filtered set of test items, the filter selection comprising a user selection within the graphical distribution representation;
identify one or more matching test items of the plurality of test items associated with interactions with each of the target items of the selected data sets;
identify, based on the filter selection, a characteristic of the matching test items in how each of the matching test items interacts with the respective target items; and
based on the matching test items, generate, in conjunction with the one or more sensors, a new data set at a second computing system.

14. The computing system of claim 13 , wherein the graphical user interface depicts information regarding the test items according to a measurement metric selected by the user.

15. The computing system of claim 13 , wherein the second computing system is in communication with the one or more sensors for producing a new data set.

16. The computing system of claim 13 , wherein the one or more processors are further configured to execute the program instructions to update the graphical user interface to display visual objects representing each of the data sets and a cross section of the test items that interacted with each of the plurality of targets, the visual objects comprising a Venn diagram, a bar graph, or both.

17. The computing system of claim 13 , wherein the one or more processors are further configured to execute the program instructions to cause the system to receive from a user a method of interaction of the matching test items with the plurality of targets, a gene target of the matching test items, a threshold of interaction of the matching test items with the plurality of targets, or any combination thereof.

18. The computing system of claim 13 , wherein the one or more processors are further configured to execute the program instructions to cause the system to receive from a user a filter selection, the filter selection resulting in a subsection of the matching test items, the filter selection comprising a selection of individual elements of the matching test items, a range of values of the matching test items, or both.

19. The computing system of claim 13 , wherein the one or more processors are further configured to execute the program instructions to cause the system to indicate a relationship between the number of the matching test items and a number of total test items.

20. The computing system of claim 13 , wherein the plurality of data sets comprises at least three data sets.

Assignees

• Palantir Technologies Inc

Inventors

• Gurule Myles
• Mannaa Amin
• Qureshi Nabeel
• Prakash Arjun
• Girvin Andrew
• Owens Matthew

Classifications

• G06F3/04847 Primary

  Interaction techniques to control parameter settings, e.g. interaction with sliders or dials · CPC title

• G06F9/451

  Execution arrangements for user interfaces · CPC title

• G06F16/248 Primary

  Presentation of query results · CPC title

• G06F16/26

  Visual data mining; Browsing structured data · CPC title