Searching journal content for articles similar to Nolan et al. 34 (10): 1477.

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  1. ...CREs in open chromatin regions together with ChIP-seqs of transcription factors and histone modifications to predict the expression level of target genes. EPInformer (Lin et al. 2024) introduced an efficient deep-learning framework based on the transformer architecture to predict gene expression by integrating...
  2. ..., requires efficient computational detection methods due to experimental limitations. Although machine learning predictors have been proposed, their performance could be enhanced through systematic optimization of feature encoding schemes. Here, we propose EnDeep4mC, a dual-adaptive framework integrating...
  3. ...the advantages of ConvNeXt-based models in predicting high-resolution chromatin accessibility and regulatory effects of genetic variants. By combining ConvNeXt blocks as genomic feature extractors with CNNs, LSTMs, dilated CNNs, and transformers, we established a comprehensive framework of sequence...
  4. ..., population genomics, and diagnostic frameworks.Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a well-established method for studying the genomic localization of DNA-associated proteins. ChIP-seq is widely used to study histone modifications, chromatin regulators (CRs), transcription...
  5. ...A fast and adaptive detection framework for -wide chromatin loop mapping from Hi-C data Siyuan Chen1,2,3,8, Jiuming Wang4,8, Inkyung Jung5, Zhaowen Qiu6, Xin Gao1,2,3 and Yu Li4,7 1Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King...
  6. .... Collectively, our integrated transcriptomic, chromatin, and replication data sets provide a comprehensive framework for understanding regulation differences between these in vivo stem-cell populations, demonstrating the power of multiomics in uncovering cell-type-specific regulatory features.Stem cells...
  7. ...@cs.duke.eduAbstractEpigenetic mechanisms contribute to gene regulation by altering chromatin accessibility through changes in transcription factor (TF) and nucleosome occupancy across the . Despite numerous studies focusing on changes in gene expression, the intricate chromatin-mediated regulatory code remains largely uncharted...
  8. ...University, Stanford, CA 94305, United States Abstract The fourth and final phase of the ENCODE consortium has newly profiled epigenetic activity in hundreds of human tissues. Chromatin state annotations created by segmentation and annotation (SAGA) methods, such as Segway, have emerged as the predominant...
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  9. ...epigenetic activity in hundreds of cell and tissue types. Chromatin state annotations produced by segmentation and annotation (SAGA) methods have emerged as the predominant way to summarize these epigenomic data sets in order to annotate the . These chromatin state annotations are essential for many genomic...
  10. ...as a multislice joint analysis framework featuring a precorrection mechanism that enables the precise identification of complex spatial domains, advancing disease pathology insights. STMSC assumes that precise three-dimensional (3D) reconstruction is essential for an in-depth investigation of tissue components...
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