EP 1124992 A4 20060906 - METHODS FOR USING CO-REGULATED GENESETS TO ENHANCE DETECTION AND CLASSIFICATION OF GENE EXPRESSION PATTERNS
Title (en)
METHODS FOR USING CO-REGULATED GENESETS TO ENHANCE DETECTION AND CLASSIFICATION OF GENE EXPRESSION PATTERNS
Title (de)
METHODE ZUR BENUTZUNG VON KOREGULIERTEN GENGRUPPEN ZUR VERBESSERUNG DER DETEKTION UND KLASSIFIZIERUNG VON GENEXPRESSIONSMUSTERN
Title (fr)
PROCEDES POUR UTILISER DES ENSEMBLES GENIQUES CO-REGULES AFIN D'AMELIORER LA DETECTION ET LA CLASSIFICATION DE MODELES D'EXPRESSION GENIQUE
Publication
Application
Priority
- US 9925025 W 19991027
- US 17956998 A 19981027
- US 22027598 A 19981223
Abstract (en)
[origin: CA2348837A1] The present invention provides methods for enhanced detection of biological response patterns. In one embodiment of the invention, genes are grouped into basis genesets according to the co-regulation of their expression. Expression of individual genes within a geneset is indicated with a single gene expression value for the geneset by a projection process. The expression values of genesets, rather than the expression of individual genes, are then used as the basis for comparison and detection of biological response with greatly enhanced sensitivity. In another embodiment of the invention, biological responses are grouped according to the similarity of their biological profile. The methods of the invention have many useful applications, particularly in the fields of drug development and discovery. For example, the methods of the invention may be used to compare biological responses with greatly enhanced sensitivity. The biological responses that may be compared according to these methods include responses to single perturbations, such as a biological response to a mutation or temperature change, as well as graded perturbations such as titration with a particular drug. The methods are also useful to identify cellular constituents, particularly genes, associated with a particular type of biological response. Further, the methods may also be used to identify perturbations, such as novel drugs or mutations, which effect one or more particular genesets. The methods may still further be used to remove experimental artifacts in biological response data.
IPC 8 full level
G01N 33/50 (2006.01); C12M 1/00 (2006.01); G16B 40/30 (2019.01); C12N 15/09 (2006.01); C12P 21/04 (2006.01); C12Q 1/68 (2006.01); C40B 30/02 (2006.01); C40B 30/04 (2006.01); C40B 40/02 (2006.01); C40B 50/02 (2006.01); C40B 50/06 (2006.01); C40B 60/12 (2006.01); G01N 33/15 (2006.01); G01N 33/68 (2006.01); G06F 17/10 (2006.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06F 17/30 (2006.01); G16B 25/10 (2019.01)
CPC (source: EP KR US)
C12Q 1/68 (2013.01 - KR); C12Q 1/6809 (2013.01 - EP); C12Q 1/6834 (2013.01 - EP); G01N 33/6803 (2013.01 - EP); G16B 25/10 (2019.02 - EP KR US); G16B 40/00 (2019.02 - EP); G16B 40/30 (2019.02 - EP KR US); G16B 25/00 (2019.02 - EP)
Citation (search report)
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Designated contracting state (EPC)
AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE
DOCDB simple family (publication)
AU 1451700 A 20000515; AU 773456 B2 20040527; BR 9914913 A 20011016; CA 2348837 A1 20000504; EP 1124992 A1 20010822; EP 1124992 A4 20060906; HU P0104050 A2 20020328; IL 142840 A0 20020310; IS 5929 A 20010427; JP 2002528095 A 20020903; KR 20010081098 A 20010827; NO 20012036 D0 20010425; NO 20012036 L 20010625; PL 347495 A1 20020408
DOCDB simple family (application)
AU 1451700 A 19991027; BR 9914913 A 19991027; CA 2348837 A 19991027; EP 99971047 A 19991027; HU P0104050 A 19991027; IL 14284099 A 19991027; IS 5929 A 20010427; JP 2000578488 A 19991027; KR 20017005252 A 20010427; NO 20012036 A 20010425; PL 34749599 A 19991027