The phrase "a few transcripts" is correct and usable in written English.
It can be used when referring to a small number of transcripts, typically in an academic or professional context.
Example: "I need to review a few transcripts before making my final decision on the candidates."
Alternatives: "several transcripts" or "some transcripts".
A similar experiment on developing caryopses grown with dry and/or hot environmental treatments was also analysed, using the profiles established in the first experiment to show that most environmental treatment effects on transcription were due to acceleration of development, but that a few transcripts were specifically affected.
In crambe, only a few transcripts such as cysteine proteinase, thioglucosidase, aldose epimerase, and PMSR showed increased transcription within 24 hrs of phosphate deficiency.
The response of the transcripts affected at all dose levels was generally found to be independent of dose, and only a few transcripts showed increasing or decreasing regulation with increasing absorbed dose.
The transcripts involved in Calvin cycle and photosynthesis were down-regulated while those involved in tetrapyrrole synthesis pathway (TSP) were highly up-regulated except a few transcripts, encoding enzymes involved in chlorophyll branch of TSP, which were notably down-regulated (Fig. 2, Additional file 7: Table S4).
For a few transcripts, riboswitches and small RNAs were found.
Although there was some reduction in transcripts encoding structural proteins including the flagellar protein PFR2 and tubulin, the observed reduction of just a few transcripts does not explain the global protein synthesis arrest phenotype.
At this point only a few transcript copies are available per a locus and the disproportionate consequences of random fluctuations may define systemic expression profile [5].
The fragmentation was relatively low, and only a few transcript contigs were regarded as fragments (non-overlapping).
The sample-level meta-analysis detected more differentially expressed transcripts than the study-level meta-analysis among transcripts with consistent patterns of expression in a few studies, transcripts with expression well-described by similar model parameter estimates across studies, and transcripts with low variation between studies relative to the overall signal of differential expression.
We see that for such k increase u drops to a very small amount (few transcripts per cell), while p increases for about two orders of magnitude, consistently with the experimental observations.
This observation that a given combination of very few transcripts can equal or even outperform the predictive strength of a higher number of transcripts has also been reported in another context, namely the response to hepatitis C treatment [ 32].
