Gene expression data

Basicconcepts

Geneexpressiondatacontainsinformationaboutgeneactivity,whichcanreflectthecurrentphysiologicalstateofcells,suchaswhethercellsareinanormalordeterioratingstate,whetherdrugsareeffectiveontumorcells,etc..Theanalysisofgeneexpressiondatacanobtaingenefunctionandgeneexpressionregulationinformation.ThisisoneofthemajorchallengesofbioinformaticsandoneofthekeyreasonswhyDNAmicroarrayscanbewidelyusedinthefieldofbiomedicine.

Featuresandresearchdirections

Features

Theobjectofgeneexpressiondataanalysisisadatamatrixcomposedofallorpartofthegeneexpressiondataunderdifferentconditions.Throughtheanalysisofthisdatamatrix,somebiologicalquestionscanbeanswered.Theanswerstothesequestions,combinedwithotherbiologicalknowledgeanddata,willhelpclarifygeneexpressionregulationpathwaysandregulatorynetworks.Revealinggeneregulationpathwaysandnetworksisthecommongoalofbiologyandbioinformatics,andisthecorecontentofsystemsbiologyresearch.

Gene expression data

Researchdirection

1.Analyzetheexpressionlevelofasinglegene

Accordingtothechangeofgeneexpressionlevelunderdifferentexperimentalconditions,Tojudgeitsfunction,forexample,thespecificgenesrelatedtotumortypingcanbedeterminedbasedonthesignificanceoftheexpressiondifference.Theanalysismethodsusedincludehypothesistestinginstatisticsandsoon.

2.Considergenecombinations

Groupgenestostudytheircommonfunctions,interactions,andcoordinatedregulation.Methodssuchasclusteranalysisareoftenused.

3.Trytoinferthepotentialgeneregulatorynetwork

Interprettheobservedgeneexpressiondatafromthemechanism.Reverseengineeringmethodsareoftenused.

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