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Predicts effected biology (cellular processes, biological functions) based on gene expression and predicts directional change on that effect – “Increase in cell cycle”
In the last Research Made Simple Series article, we briefly outlined the main phenomenological research approaches in relation to investigating healthcare phenomena including Interpretative Phenomenological Analysis (IPA).
24 Φεβ 2020 · The study applied an interpretative phenomenological analysis (IPA) approach to qualitative research, to describe how the participants made sense of their experiences of providing care to ...
20 Σεπ 2008 · This article examines the approach of interpretative phenomenological analysis (IPA) and adds to discussions regarding the contribution that the approach can make to healthcare research and compares and contrasts IPA with other phenomenological approaches.
IPA is a web-based bioinformatics application that allows researchers to upload data analysis results from high-throughput experiments such as microarray and next generation sequencing for functional analyze, integration, and further understanding.
Advanced RNA-Seq analysis with upload to IPA. The purpose of this tutorial is to illustrate how workflows can be used to easily run RNA-Seq and downstream analyses for multiple samples and multiple groups of samples. In addition, it demonstrates the collaborative power of CLC Genomics Workbench and Ingenuity Pathway Analysis (IPA) for the ...
IPA visualizes the hidden biology in a dataset Analysis Match in IPA -Understanding biological mechanisms in transcriptomics or proteomics datasets
