Systems and method for searching and analyzing big data background

Abstract

Systems and methods are provided for ranking and querying statistical analysis results of database contents for the purpose of populating search engine query results with novel content.

1 - 6 . (canceled) 
     
     
         7 . A method for analyzing data, comprising:
 receiving a text search query input by a user; and   in response to receiving the text search query, a processor executing instructions that cause:
 retrieval of a plurality of stored findings each including records that each include a text field matching the received text search query, 
 calculation of a statistical result of the retrieved plurality of stored findings, 
 normalization of the statistical result, and 
 ranking of query results to be provided to the user by ranking the normalized statistical result based on hits of the received text search query with the text fields of the records. 
   
     
     
         8 . The method of  claim 7 , further comprising the processor executing instructions that cause a user interface to provide the ranked query results to the user in faceted form for collections of related ones of a plurality of data sources from which the plurality of stored findings were retrieved. 
     
     
         9 . The method of  claim 8 , further comprising the processor executing instructions that cause the user interface to also provide the ranked query results to the user in list form. 
     
     
         10 . The method of  claim 7 , wherein the retrieved plurality of stored findings include findings that are sub-network intersections of findings across a plurality of different data sources. 
     
     
         11 . The method of  claim 7 , wherein the statistical result includes a p-value and a strength of effect;
 the processor executes instructions that cause calculation of a weighted test result using the strength of effect;   the processor executes instructions that cause ranking of the weighted test results from largest to smallest;   the processor executes instructions that cause calculation of a relevance score for each weighted test result; and   the normalization of the statistical result comprises normalization of the relevance scores.   
     
     
         12 . The method of  claim 11 , further comprising the processor executing instructions that cause assignment of a false discovery rate to each of the p-values;
 wherein the ranking of the query results is also based on the false discovery rates.   
     
     
         13 . The method of  claim 7 , wherein the text search query is input to a search engine via a user interface; and
 the method further comprises the processor executing instructions that cause the user interface to provide the ranked query results.   
     
     
         14 . The method of  claim 7 , wherein the records relate to studying genes, gene transcripts, or proteins occurring in disease or other phenotypes. 
     
     
         15 . The method of  claim 7 , wherein the records relate to genes, proteins, people, places, accounts, companies or their stock, time points, manufactured products, or electronic transactions. 
     
     
         16 . A system for analyzing data, comprising:
 a plurality of data sources each configured to store findings therein; and   a processor configured to, in response to receiving a text search query input by a user using a user interface, execute instructions that cause:
 retrieval of a plurality of findings from each of the plurality of data sources, each of the retrieved findings including a record that includes a text field matching the text search query, 
 calculation of a statistical result of the retrieved plurality of findings, 
 normalization of the statistical result, and 
 ranking of query results to be provided to the user by ranking the normalized statistical result based on hits of the received text search query with the text fields of the records. 
   
     
     
         17 . The system of  claim 16 , wherein the processor is configured to execute instructions that cause a user interface to provide the ranked query results to the user in faceted form for collections of related ones of a plurality of data sources from which the plurality of stored findings were retrieved. 
     
     
         18 . The system of  claim 17 , wherein the processor is configured to execute instructions that cause the user interface to also provide the ranked query results to the user in list form. 
     
     
         19 . The system of  claim 16 , wherein the retrieved plurality of findings include findings that are sub-network intersections of findings across the plurality of data sources. 
     
     
         20 . The system of  claim 16 , wherein the statistical result includes a p-value and a strength of effect;
 the processor is configured to execute instructions that cause calculation of a weighted test result using the strength of effect;   the processor is configured to execute instructions that cause ranking of the weighted test results from largest to smallest;   the processor is configured to execute instructions that cause calculation of a relevance score for each weighted test result; and   the normalization of the statistical result comprises normalization of the relevance scores.   
     
     
         21 . The system of  claim 16 , wherein the records relate to studying genes, gene transcripts, or proteins occurring in disease or other phenotypes. 
     
     
         22 . The system of  claim 16 , wherein the records relate to genes, proteins, people, places, accounts, companies or their stock, time points, manufactured products, or electronic transactions. 
     
     
         23 . A system for analyzing data, comprising:
 a plurality of data sources each configured to store therein a plurality of records each including a text field and each being related to studying genes, gene transcripts, or proteins occurring in disease or other phenotypes; and   a processor configured to execute instructions that cause:
 retrieval of findings from the stored plurality of records based on a match of the text field with a text query input by a user via a user interface, 
 calculation of statistical test results for the retrieved records, 
 rank the statistical test results, 
 change a rank of the ranked statistical test results based on the user input text query to have a new rank of the statistical test results, and 
 cause query results to be provided to the user via the user interface based on the new rank of the statistical test results. 
   
     
     
         24 . The system of  claim 23 , wherein the query results are provided in faceted form. 
     
     
         25 . The system of  claim 24 , wherein the query results are also provided in list form. 
     
     
         26 . The system of  claim 23 , wherein the statistical results each include a p-value and a strength of effect;
 the processor is configured to execute instructions that cause calculation of a weighted test result using each strength of effect;   the processor is configured to execute instructions that cause ranking of the weighted test results from largest to smallest;   the processor is configured to execute instructions that cause calculation of a relevance score for each weighted test result;   the processor is configured to execute instructions that cause normalization of the relevance scores; and   the changing of the rank of the ranked statistical test results comprises ranking the normalized relevance scores based on hits of the user input text query with the text fields of the records.