Claims
- 1. A method for correlating displayed expression data, the method comprising:
receiving user-generated signals identifying expression data within a first one of two or more expression data displays; identifying corresponding expression data in at least a second one of the expression data displays which corresponds to the expression identified by the user-generated signals; and highlighting the corresponding expression data.
- 2. The method of claim 1 wherein the displayed expression data includes genetic expression data.
- 3. The method of claim 1 wherein the displayed expression data include proteomic expression data.
- 4. The method of claim 1 wherein identifying comprises:
retrieving first metadata associated the first expression data display and with the expression data identified by the user-generated signals; locating second metadata associated the second expression data display which corresponds to the first metadata; and determining which expression data of the second expression data display is associated with the second metadata.
- 5. A computer readable medium useful in association with a computer which includes a processor and a memory, the computer readable medium including computer instructions which are configured to cause the computer to correlate displayed expression data by:
receiving user-generated signals identifying expression data within a first one of two or more expression data displays; identifying corresponding expression data in at least a second one of the expression data displays which corresponds to the expression identified by the user-generated signals; and highlighting the corresponding expression data.
- 6. The computer readable medium of claim 5 wherein the displayed expression data includes genetic expression data.
- 7. The computer readable medium of claim 5 wherein the displayed expression data include proteomic expression data.
- 8. The computer readable medium of claim 5 wherein identifying comprises:
retrieving first metadata associated the first expression data display and with the expression data identified by the user-generated signals; locating second metadata associated the second expression data display which corresponds to the first metadata; and determining which expression data of the second expression data display is associated with the second metadata.
- 9. A computer system comprising:
a processor; a memory operatively coupled to the processor; and a display correlation module (i) which executes in the processor from the memory and (ii) which, when executed by the processor, causes the computer to correlateing displayed expression data by: receiving user-generated signals identifying expression data within a first one of two or more expression data displays; identifying corresponding expression data in at least a second one of the expression data displays which corresponds to the expression identified by the user-generated signals; and highlighting the corresponding expression data.
- 10. The computer system of claim 9 wherein the displayed expression data includes genetic expression data.
- 11. The computer system of claim 9 wherein the displayed expression data include proteomic expression data.
- 12. The computer system of claim 9 wherein identifying comprises:
retrieving first metadata associated the first expression data display and with the expression data identified by the user-generated signals; locating second metadata associated the second expression data display which corresponds to the first metadata; and determining which expression data of the second expression data display is associated with the second metadata.
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] The present application is related to the following co-pending patent applications which are filed on the same date on which the present application is filed and which are incorporated herein in their entirety by reference: (i) patent application Ser. No. ______, entitled “Analysis Mechanism for Genetic Data” by Evangelos Hytopoulos, Brett Miller, and Sandip Ray (Attorney Docket P-2172D1) and (ii) patent application Ser. No. ______, entitled “Web-Based Genetic Research Engine” by Evangelos Hytopoulos, Brett Miller, and Sandip Ray (Attorney Docket XMNE:0101).