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To test this idea we focused on a particular transcription factor: the Estrogen Receptor alpha (ERα) and, using two different sets of ChIP-seq data, performed a set of enrichment tests on the TE distribution within the datasets.
To test this idea we focused on a particular transcription factor: the Estrogen Receptor α (ERα) and we found that ERα preferentially targets a well defined set of TEs and that these TEs host combinations of transcriptional regulators involving several of known co-regulators of ERα.
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To present the idea, we focus on the GEC model for representing channel erasures.
Toward the end of implementing the above idea, we focus on single carbon nanotubes to enhance heat transfer between a surface and a fluid in contact with it.
Then, as a team, we evaluated the ideas against the criteria: Signposting Navigation to top-level sections Navigation to 2nd level sections Feasibility Visual clarity We prioritised the ideas that scored highly across the board and from there, rather than choose 2 or 3 ideas, we focussed on what we thought was best.
To illustrate the main algorithm ideas, we focus on the case of two layers in this work.
To test our ideas we focus on modeling observations in April 1993 and April 1994, months which had very different background winds and tides.
In order to test this idea on ancient DNA extracts, we focused on extracts CA1 and CA2.
We focused more on the idea and on what people are going to feel.
Since the beginning, we have been guided by the idea that, if we focus on the user, all else will follow.
It's just that we have this false idea of success; we focus on money and power.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com