I have found several lines of thought while analyzing technical replicates from RNA-Seq data. The following methods have been suggested so far-
Add read counts for multiple technical replicates, since the technical variability for bulk RNA-Seq data follows Poisson distribution (Most widely used in literature)- https://support.bioconductor.org/p/97390/
Merge technical replicates by combining fastq or bam files - Technical replicates in RNAseq
Average across technical replicates, if the same library is being sequenced twice to avoid biases- A: Technical replicates in RNAseq
Also, most of these suggestions are for combining replicates at the read count level.
I would like to know if there is a standard method that can be used to deal with technical replicates at the read count level and normalized (fpkm/tpm) level. I feel that the research community needs to address this issue, in order to improve the reproducibility of bulk RNA-Seq analysis.