Computational prediction and characterization of cell-type-specific and shared binding sites.

ABSTRACT:

Motivation

Cell-type-specific gene expression is maintained in large part by transcription factors (TFs) selectively binding to distinct sets of sites in different cell types. Recent research works have provided evidence that such cell-type-specific binding is determined by TF's intrinsic sequence preferences, cooperative interactions with co-factors, cell-type-specific chromatin landscapes and 3D chromatin interactions. However, computational prediction and characterization of cell-type-specific and shared binding sites is rarely studied.

Results

In this article, we propose two computational approaches for predicting and characterizing cell-type-specific and shared binding sites by integrating multiple types of features, in which one is based on XGBoost and another is based

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9825777 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature