The whole process was iterative, starting with transcription of the interviews, highlighting pointers on the interview transcripts, writing memos, linking themes together, arriving at core themes, further integration of categories by creating links between them and defining what the core themes were.
T cell development from multipotent progenitors to specialized effector subsets of mature T cells is guided by the iterative action of transcription factors.
Our iterative approach to data transcription, annotation and analysis is shown in figure 1. Field notes were annotated, and videos viewed multiple times.
We reviewed transcriptions and made iterative changes to the handbook to address participants' comments.
We use an iterative regression method, which in each iteration chooses one transcription factor based on an optimality criterion, and adds it to the non-linear regression ensemble.
Transcription and analysis was an iterative process, starting after the first four interviews and continuing throughout data collection.
Shown are the transcription factors that remain after iterative filtering for the highest periodicity scores of their α-coefficients.
The 13 transcription factors that remain after iterative selection and filtering for high periodicity include the expected transcription factors Hap1, Hap4 and Gcn4 (Table 1).
The interviews were audio-recorded and transcribed; transcriptions were then verified through an iterative process of technical and editorial review.
Transcription modules were identified by applying the Iterative Signature Algorithm to the full expression dataset comprising all conditions [20], [21].
The matrix W has to be calculated within an iterative process, where the likelihood of adaptation data with known transcription is maximized [37].
