qPCR data analysis: Better results through iconoclasm
نویسندگان
چکیده
منابع مشابه
The qPCR data statistical analysis
Since the invention of real-time PCR (qPCR), thousands of high-impact studies have been conducted and published using qPCR technique (Heid et al. 1996; Higuchi et al. 1993; VanGuilder, Vrana, and Freeman 2008). Because it is highly sensitive, qPCR is the preferred method for microarray data validation (Canales et al. 2006); however the most exciting applications have been in the discovery of ne...
متن کاملBetter bioinformatics through usability analysis
MOTIVATION Improving the usability of bioinformatics resources enables researchers to find, interact with, share, compare and manipulate important information more effectively and efficiently. It thus enables researchers to gain improved insights into biological processes with the potential, ultimately, of yielding new scientific results. Usability 'barriers' can pose significant obstacles to a...
متن کاملRT-qPCR work-flow for single-cell data analysis.
Individual cells represent the basic unit in tissues and organisms and are in many aspects unique in their properties. The introduction of new and sensitive techniques to study single-cells opens up new avenues to understand fundamental biological processes. Well established statistical tools and recommendations exist for gene expression data based on traditional cell population measurements. H...
متن کاملMigration Analysis: Combining Approaches for Better Results
Lenders increasigly use migration analysis to measure his torical default and loss rates, primarily in commercial portfolios, by risk rating. KPMG’s Sixth Annual Survey of Bank Credit Risk Management Practices revealed that 51% of all bank respondents use migration analysis. Of those banks with assets greater than $10 billion, 70% report using migration analysis. However, there are, perhaps, as...
متن کاملResource Allocation through Context-dependent data envelopment analysis
System designs, optimizing resource allocation to organization units, is still being considered as a complicated problem especially when there are multiple inputs and outputs related to a unit. The algorithm presented here will divide the frontiers obtained with DEA. In this way, we investigate a new approach for resource allocation.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biomolecular Detection and Quantification
سال: 2019
ISSN: 2214-7535
DOI: 10.1016/j.bdq.2019.100084