Ctcf prediction
WebJul 19, 2024 · Together with functional genomic signals from CTCF ChIP-seq and DNase-seq, CTCF-MP is able to make highly accurate predictions on whether a convergent CTCF motif pair would form a loop in a single ...
Ctcf prediction
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WebOct 25, 2024 · The figure shows from top to bottom the accuracy, precision, sensitivity, and specificity of the predictions. (D) Venn-Diagram of CTCF motif pairs overlapping experimentally determined chromatin interactions in GM12878 cells and HeLa cells by Hi-C and ChIA-PET. (E) Prediction performance as auPRC (top) and auROC (bottom) of four … WebMay 14, 2024 · (A) Diagram illustrating intra-TAD loop prediction based on CTCF motif orientation and CTCF and cohesin (Rad21) ChIP-seq binding strength data. Iteration was conducted until 20,000 loops were predicted …
WebResults: To determine whether transitivity is informative for predicting CTCF loops and to obtain an accurate and low-cost predicting method, we proposed a two-stage random-forest-based machine learning method, CCIP (CTCF-mediated Chromatin Interaction Prediction), to predict CTCF-mediated chromatin loops. Our two-stage learning approach makes ... WebOct 11, 2024 · Therefore, computational predictions that take advantage of the routinely available ChIP-seq and RNA-seq data is a desirable approach to guide the interrogation of the CTCF-mediated interactome ...
WebAug 23, 2024 · Together with functional genomic signals from CTCF ChIP-seq and DNase-seq, CTCF-MP is able to make highly accurate predictions on whether a convergent CTCF motif pair would form a loop in a single ... WebSep 2, 2024 · However, CTCF-mediated chromatin loops are cell type specific, and most chromatin interaction capture techniques are time-consuming and labor-intensive, which …
WebDec 6, 2024 · HiC-Reg predictions identify topologically associating domains and significant interactions that are enriched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from ...
WebApr 29, 2024 · To our knowledge, this is the first published study of using deep learning techniques to discover the sequence motif patterns underlying CTCF-mediated chromatin loop formation. Our results provide useful information for understanding the mechanism of 3D genome organization. The source code and datasets used in this study for model … dwayne arnold elkhornWebTranscription factor binding sites (TFBSs) play an important role in gene expression regulation. Many computational methods for TFBS prediction need sufficient labeled data. However, many transcription factors (TFs) lack labeled data in cell types. We propose a novel method, referred to as DANN_TF, for TFBS prediction. DANN_TF consists of a … dwayne armstrongWebJul 19, 2024 · Together with functional genomic signals from CTCF ChIP-seq and DNase-seq, CTCF-MP is able to make highly accurate predictions on whether a convergent … dwayne arnold elkhorn wiWebAug 1, 2013 · CTCF sites were classified as eQTL interrupting if the midpoint of the CTCF binding site was between the eQTL SNP and the TSS of the associated gene. To test if … dwayne arnold obituary elkhorn wiWebCTCF. Transcriptional repressor CTCF also known as 11-zinc finger protein or CCCTC-binding factor is a transcription factor that in humans is encoded by the CTCF gene. [5] … dwayne arp obituaryWebNational Center for Biotechnology Information crystal electronics ontarioWebThe JASPAR CORE database contains a curated, non-redundant set of profiles, derived from published collections of experimentally defined transcription factor binding sites for … dwayne arnold obituary