AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This study profiles 284 largely uncharacterized human transcription factors with a microfluidic methylation-sensitive DNA-binding assay, uncovering 74 new motifs and showing how DNA methylation shapes TF binding.
A systematic effort to determine the sequence specificity of 332 putative and poorly characterized human TFs is described, which reveals tens of thousands of previously unknown, conserved and direct TF-binding sites across the human genome.
It is found that induction of TPRX1, a known regulator of zygotic preimplantation, leads to chromatin opening at many of its binding sites in the dark matter genome, suggesting that the genome encodes many putative transcription factors.
There is ongoing debate regarding the degree to which transcription factors (TFs) independently specify genomic binding: TF binding motifs are typically short and degenerate, yielding many more binding site predictions than observed in cells. Here we present genomic high-throughput SELEX (GHT-SELEX)—a scalable method t...
The exact marginalization of the mixture weight is studied, and it is shown that the exact posterior of the weight is a finite mixture of Beta distributions, delivering closed-form posterior summaries, credible intervals and per-observation local false-discovery rates without any sampling.
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