高维数据（特征基因选择、聚类、降维、可视化.．．．．）稀疏性（存在较为严重的“Dropout”现象）GeneA1CFA2BP1A2LD1A2MA2ML1A4GALTA4GNTA1BGA1BGASAAA11.7570440.0000000.00000001.4046160.0000000.0000002.3076360.0000002.3700250.0000000.1979290.0000004.2014120.0000000.0661434.0251290.00000011.9276802.2884820.0238904.5616510.00000022.2744380.6371491.7179260.0000000.1422333.1140050.0000000.09271931.4749440.1871550.0000002.6401661.5387710.0000000.0000001.8008650.0000000.0000002.4370883.6744020.1013810.0240592.5313690.0246850:0000000.4688620.0000000.000000451.6199672.7592491.5402680.0000002.7889010.0000000.0564813.0805990.0000000.00000062.3900710.6389482.0218380.0000003.8625750.0000000.0000000.4320180.0000000.0000002.5710432.3202113.5926840.0000000.00000071.7988580.8768162.2869570.0000000.209902Cell0.3494170.0000004.4075711.6509866.8624760.0000002.5962102.4744950.00000080.02036993.2296631.6134663.5924021.5848566.6059500.0000000.9568782.9633430.0000000.621838101.8069700.0000003.8119610.5220186.5666390.0740052.1529692.3503210.0000000.1386152.113804112.3394681.9337932.6880152.3072226.8009921.8562192.6760420.0000000.452849123.6259712.6628820.4990150.8185775.4833610.0000001.2377763.0518410.0000000.000000133.2866114.1089351.5854250.0904605.7442200.0000000.0483013.8378780.0000000.000000142.4946670.0000000.0000000.0434615.2541210.0000001.4070834,2P1993ee.000000NS0.0097853.4517410.000000152.4226731.9760692.6833760.1127725.0246250.0000000.000000
• 高维数据（特征基因选择、聚类、降维、可视化. .） • 稀疏性（存在较为严重的“Dropout”现象）
DOWNSTREAMANALYSISPRE-PROCESSINORaw dsta processingTeSotletcosEECCounmatriceshermceihEnterocytetEP(lateOualitrcontrolNormaizatiorTrajecDitfernnintereneGenedynamicslio2FCHigCompos*OtheCongunePseudotimVisualizatkonstatesPseudotn早期经典数据框架2019）（LueckenandTheis
早期经典数据框架（Luecken and Theis，2019）
Cancercellphylogeny[Cednie, TnkrDDNORO,SASCeCNVSNVEpigeneticsReconstructioofspatialBRD,REEorganizationow,Oronis.SCarECSOERCIKXTLipandseporSANGArtenchandvsCellcyclecra,FnMutecz,SreloCell-cellassessmentVaSCn,STARinteractionSetScanpCydaCas.Cainucecat,tcn.co.opsccCeihonece,CelicalSiegleCe5igallleCE8SelectiteofsipitcartgemessreSODNC,WGCNA,SCOOCataLgandreceptrrterndon rotaseeeconpctirsscRNA-seqdataCell clusteringHeraroecalCutterngpRetude.Csrani custrng (Sc)aoveeiphureOeneRNA veiocity(PhemGnph Serat,Scangy,et)BRERSTTSCAN SingihttyreetcCoAutomatic.celltypeOprentiaidentificationeeneexpressi0Cell trajectoryinarvsninferenceAnuhrwrreS,etManualManualannotationHiothyannotation00000BcogcaTarstonooCelltypeidentificationA90000最新分析框架之一(Khozyainova et al., 2023)一
最新分析框架之一（Khozyainova et al., 2023）
单细胞测序技术汇总Seuratnature Integrative single-cell analysisNEWYORKNYUcIHOMTSTnttE,Rahul SatijaRNAProteinNewYorkGenomeCenterCellsurfaceproteins.CITE-seq2oREAP-seql·FACSALWSpatialpositionIntracellularRegultatoryinferenceMERFISHIO1OL109proteinMultimodal analysisSmFISHmPEASTARmap!!00008880营00CO0000000000600?0800000000Lineagetree..5000DNAmethylation.scBS-seq"PseudotimesnmC-seq"sMonoclenitmRNASCi-METISWishbone'Drop-seqSCGESTALTSGenomeHistone.Velocyto"InDropScarTracemodificationssequenceDiffusion"Smart-seq2LINNAEUS"ChromatinscChIP-seq.SNS:MARS-seqMEMOIR"accessibilitySCl-seq10XGenomicsSCATAC-Seq"SPLiT-seqsciATAC-seqsci-RNA-seqscTHS-seq"sTypecellsinsitu-10XGenomics
Seurat