A method for quantitative analysis of standard and high-throughput qPCR expression data based on input sample quantity

PLoS ONE

Volumn 9, Issue 8, 2014, Pages

  Adamski, Mateusz G ^a,b   Gumann, Patryk ^c,d   Baird, Alison E ^a  

^a Downstate Health Sciences University   (United States)

^b JAGIELLONIAN UNIVERSITY MEDICAL COLLEGE   (Poland)

^c HARVARD UNIVERSITY   (United States)

^d UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA;

ALGORITHM; ANALYTIC METHOD; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; GENE AMPLIFICATION; GENE EXPRESSION; GENETIC TRANSCRIPTION; HUMAN; HUMAN CELL; INPUT QUANTITY; INTERMETHOD COMPARISON; POLYMERASE CHAIN REACTION; QUANTITATIVE ANALYSIS; QUANTITATIVE POLYMERASE CHAIN REACTION; SAMPLE SIZE; CASE CONTROL STUDY; CELL COUNT; CEREBROVASCULAR ACCIDENT; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SCREENING; PROCEDURES; REPRODUCIBILITY; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; STANDARD; STANDARDS; STATISTICS;

CASE-CONTROL STUDIES; CELL COUNT; DNA, COMPLEMENTARY; GENE EXPRESSION REGULATION; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; STATISTICS AS TOPIC; STROKE;

EID: 84905457674     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0103917     Document Type: Article

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