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a primer on regression methods for decoding cis-regulatory logic解码基因工程逻辑回归方法的底漆
Education A Primer on Regression Methods for Decoding cis- Regulatory Logic 1 2 1,3 Debopriya Das *, Matteo Pellegrini , Joe W. Gray 1 Life Sciences Division, Ernest O. Lawrence Berkeley National Laboratory, Berkeley, California, United States of America, 2 Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, California, United States of America, 3 Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, United States of America Introduction expected transcriptional response of genes duce the regression method, let us first Importance of cis-Regulatory due to the binding of TFs to their proceed by dividing the genes into two Elements promoters. While such methods have groups, according to whether a gene has gathered popularity in the computational the word in its promoter or not. If under a The rapidly emerging field of systems domain, they remain largely obscure to biological condition the expression levels biology is helping us to understand the the broader biology community. The of genes in these two groups are signifi- molecular determinants of phenotype on a purpose of this tutorial is to bridge this cantly different from each other, it implies genomic scale [1]. Cis-regulatory elements gap.
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