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PAK. J. Bot., 53(2): 473482, 2021.DOI: http://dx.doi.org/10.30848/PJB20212(26)IDENTIFICATION OF DIFFERENTIALLY EXPRESSED mRNAs IN RESPONSE TO WHITE LIGHT SIGNAL IN LITHOSPERMUM ERYTHRORHIZON CELLS HUB
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01
Start by obtaining gene expression data from different samples.
02
Preprocess the data to remove noise and normalize expression levels.
03
Perform statistical analysis to identify genes that are differentially expressed between the samples.
04
Apply appropriate statistical tests such as t-tests or ANOVA to determine significance.
05
Filter out genes that do not meet the specified criteria for differential expression.
06
Validate the results through additional experiments or literature review.

Who needs identification of differentially expressed?

01
Researchers studying gene expression patterns in different conditions or diseases.
02
Pharmaceutical companies developing new drugs and therapies.
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Biotechnology companies working on genetically modified organisms.
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Medical professionals looking for biomarkers to diagnose diseases.
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Identification of differentially expressed refers to the process of determining which genes or proteins show significant differences in expression levels between two or more conditions or groups.
Researchers or scientists conducting studies that involve gene expression analysis are required to file identification of differentially expressed.
To fill out identification of differentially expressed, researchers need to conduct statistical analysis on gene expression data and identify genes that meet specific criteria for differential expression.
The purpose of identification of differentially expressed is to identify genes or proteins that are potentially involved in biological processes or pathways of interest.
The information reported on identification of differentially expressed typically includes the gene or protein names, expression levels, statistical significance, and any relevant biological annotations.
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