Statistical analysis technical replicates

  • Can you do statistical analysis on technical replicates?

    For statistical analysis, I'd average the technical replicates in advance (meaning that three values for each group remain) and then only compare the means.May 25, 2021.

  • Can you do statistics on technical replicates?

    For statistical analysis, I'd average the technical replicates in advance (meaning that three values for each group remain) and then only compare the means.May 25, 2021.

  • How do you analyze replicate data?

    Analysis The most commonly used approach is to declare a replication successful if both the original and replication study achieve statistical significance (in the same direction).
    The significance level is conventionally chosen to be 0.05 for two-sided p-values, respectively, 0.025 for one-sided p- values..

  • How many replicates are there in statistical analysis?

    Biological replicates are required if inference on the population is to be made, with three biological replicates being the minimum for any inferential analysis.
    Desired statistical power, that is the capacity for detecting statistically significant differences in gene expression between experimental groups..

  • How many replicates do you need in order to run statistical analysis?

    For this reason, we often set a sample size in advance and then try to estimate the power of the experiment to detect differences of various sizes.
    At minimum you should have three biological replicates for treatment.
    That being said, dozens and dozens of experiments have only two replicates..

  • What is a technical replicate?

    • Technical replicates are repeated measurements of the same sample that represent. independent measures of the random noise associated with protocols or equipment.2..

  • What is SEM for technical replicates?

    Using SEM implies that you have performed the same experiment multiple times (aka: multiple technical replicates) and for each of those you are plotting the mean for the biological replicates within each experiment.
    Example: You measure the expression of gene X in 3 control and 3 treated mice..

  • Using SEM implies that you have performed the same experiment multiple times (aka: multiple technical replicates) and for each of those you are plotting the mean for the biological replicates within each experiment.
    Example: You measure the expression of gene X in 3 control and 3 treated mice.
  • What is a technical replicate? Technical replicates are repeated analyses on a single sample; for example, a blood sample taken from one person which is then analysed multiple times.
    Technical replicates are beneficial when the aim is to conclude results for one individual, or when proving a method.
Mar 31, 2020Averaging technical replicates (as in the left panel) and running statistical analyses on average values means losing potentially important 

Do you average technical replicates before analyzing a response variable?

It depends on the kind of response variable you are analysing.
For "usual measurements" (possibly on the log scale), where the normal assumption holds, average the technical replicates before any further analysis (unless you are specifically interested in the technical variation).
This also works for Poisson data (counts).

,

Does averaging technical replicates reduce biological variance?

Averaging technical replicates is a simple way to increase the technical precision (reduce the technical variance), so the technical variance will obscure the biological variance to a lesser extent.
That is all.

,

How do you compare biological and technical replicates?

Let's say there was an experiment with two groups that I'd like to compare, both with three biological* (n = 3) and three technical* (N = 3) replicates each.
For statistical analysis, I'd average the technical replicates in advance (meaning that three values for each group remain) and then only compare the means.

,

What is a'sample' & 'technical replicate'?

Very simple to apply; no specific software needed.
To clarify:

  1. a "sample" is a group of n "individuals" sharing a common property
  2. for instance all being treated or not

The different individuals are "biological replicates".
For each individual there can be several (replicate) measurements taken, these are "technical replicates".

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