Deciphering the single-cell omic: innovative application for translational medicine.

Expert review of proteomics

Volumn 9, Issue 6, 2012, Pages 635-648

  Mannello, Ferdinando ^a   Ligi, Daniela ^b   Magnani, Mauro ^b  

^a UNIVERSITY OF URBINO   (Italy)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

ANIMAL; GENOME; HUMAN; METABOLOMICS; NEOPLASM; PROTEOMICS; REVIEW; SINGLE CELL ANALYSIS; STATISTICS; STEM CELL RESEARCH; SYSTEMS BIOLOGY; TRANSLATIONAL RESEARCH;

ANIMALS; GENOME; HUMANS; METABOLOMICS; NEOPLASMS; PROTEOMICS; SINGLE-CELL ANALYSIS; STEM CELL RESEARCH; STOCHASTIC PROCESSES; SYSTEMS BIOLOGY; TRANSCRIPTOME; TRANSLATIONAL MEDICAL RESEARCH;

EID: 84878462689     PISSN: None     EISSN: 17448387     Source Type: Journal    
DOI: 10.1586/epr.12.61     Document Type: Review

References (0)