<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous control genes for real-time quantitative PCR studies of breast cancer"</p><p>http://www.biomedcentral.com/1471-2199/8/107</p><p>BMC Molecular Biology 2007;8():107-107.</p><p>Published online 27 Nov 2007</p><p>PMCID:PMC2211316.</p><p></p>r (Q. = E). Boxplot shows median value, interquartile-range box and outliers (*). Within gene there was no difference in gene quantities between benign and malignant tissues (> 0.05). b) Variation associated with candidate endogenous control genes and in all breast tumours relative to calibrator. Relative gene expression was calculated using the ΔCmethod and corrected for efficiency of amplification (Q. = E)....
<p><b>Copyright information:</b></p><p>Taken from "Identification of genes for normalization of real...
Reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) is a useful molecul...
Statistical models are presented for selecting the best housekeepers to normalize quantitative data ...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
Background: Gene expression analysis has many applications in cancer diagnosis, prognosis and therap...
Contains fulltext : 47521.pdf (publisher's version ) (Closed access)For interpreta...
A panel of 32 candidate reference genes was used to identify the most stable genes for gene normalis...
<div><p>Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a powerful techniq...
The discovery of microRNAs (miRNAs) added an extra level of intricacy to the already complex system ...
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a powerful technique for e...
For all gene expression studies using quantitative PCR it is necessary to compensate for differences...
The common reference genes of choice in relative gene expression studies based on quantitative real ...
When performing quantitative polymerase chain reaction analysis, there is a need for correction of t...
<p><b>Copyright information:</b></p><p>Taken from "Identification of genes for normalization of real...
Reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) is a useful molecul...
Statistical models are presented for selecting the best housekeepers to normalize quantitative data ...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
<p><b>Copyright information:</b></p><p>Taken from "Evaluation and validation of candidate endogenous...
Background: Gene expression analysis has many applications in cancer diagnosis, prognosis and therap...
Contains fulltext : 47521.pdf (publisher's version ) (Closed access)For interpreta...
A panel of 32 candidate reference genes was used to identify the most stable genes for gene normalis...
<div><p>Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a powerful techniq...
The discovery of microRNAs (miRNAs) added an extra level of intricacy to the already complex system ...
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a powerful technique for e...
For all gene expression studies using quantitative PCR it is necessary to compensate for differences...
The common reference genes of choice in relative gene expression studies based on quantitative real ...
When performing quantitative polymerase chain reaction analysis, there is a need for correction of t...
<p><b>Copyright information:</b></p><p>Taken from "Identification of genes for normalization of real...
Reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) is a useful molecul...
Statistical models are presented for selecting the best housekeepers to normalize quantitative data ...