#scRNA 분석 #clustering #matrix decomposition #ML 개념 #aperiodic #irreducible #marcov chain #monte carlo marcov chain #target distribution #proposal distribution #rejection sampling #marcov chain monte carlo #meta learning 이해하기 #meta learning algorithm #meta learning task #AI 개념 #network centrality #network propagation #drug repurposing #graph network in biology #feedforward neural network #RNA치료제 #김빛내리 교수님 #survminer #생존분석 R코드 #cox proportional hazard curve #kaplan meir plot #somatic mutation과 germline mutation 차이점 #somatic mutation #GISTIC #MuTect #cancer genome 개념 #경제 초보 #경제 독서 #dimention reduction #scRNA 분석방법 #scRNA batch correction #scRNA qc #10X Chromium #마크로젠 면접 후기 #신한 은행 면접 후기 #LG CNS 코테 후기 #생물정보학 취업 후기 #JW 중외제약 최초합 후기 #hierachical clustering #batch effect removal #noramlization #Expectation Maxization #Transcription motif 설명 #Transcription motif란 #epigenomics 설명 #Position Weight Matrix #sequence LOGO #GSEA #GeneEnrichmentAnalysis #GO #GSEA해석 #Enrichment #ES #Genepathway #Bayesian optimization #acquisition function #surrogate model #머신러닝개념 #meta learning #eigen decomposition #Gibbs sampling #Activation function #back propagation #K-Means Clustering #batch normalization #dropout #survival analysis #Gradient Descent #부자아빠 가난한 아빠 #TECHNIQUES #principal component analysis #singular value decomposition #eigenvalue #eigenvector #siRNA #Black Box #SVD #miRNA #PCA #MCMC #PWM #EM #책추천