Bioinformatics approaches to single-cell analysis in developmental biology

Molecular Human Reproduction

Volumn 22, Issue 3, 2015, Pages 182-192

  Yalcin, Dicle ^a   Hakguder, Zeynep M ^a   Otu, Hasan H ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Clustering; Differential expression; Missing data; Normalization; Single cell bioinformatics

Indexed keywords

BIOINFORMATICS; CELL FATE; CELL HETEROGENEITY; COMPARATIVE STUDY; DEVELOPMENTAL BIOLOGY; DNA SEQUENCE; EPIGENETICS; FLUORESCENCE MICROSCOPY; GENE EXPRESSION; GENOMICS; HIGH THROUGHPUT SEQUENCING; HISTONE MODIFICATION; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MACHINE LEARNING; MASS SPECTROMETRY; METHYLATION; MICROFLUIDICS; NONHUMAN; OPTICAL RESOLUTION; PHENOTYPE; POLYMERASE CHAIN REACTION; PRIORITY JOURNAL; REVIEW; RNA SEQUENCE; SINGLE CELL ANALYSIS; TRANSCRIPTOMICS; ANIMAL; BIOLOGY;

ANIMALS; COMPUTATIONAL BIOLOGY; DEVELOPMENTAL BIOLOGY; HUMANS; SINGLE-CELL ANALYSIS;

EID: 84959890672     PISSN: 13609947     EISSN: 14602407     Source Type: Journal    
DOI: 10.1093/molehr/gav050     Document Type: Review

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