Searching journal content for articles similar to Feng et al. 36 (1): 159.

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  1. ...patterns robustly from diverse data at a faster speed poses an emerging and challenging computational problem.The first category of chromatin interaction detection algorithms falls under the statistical approach. Examples of such methods include Cloops (Cao et al. 2020), HiCCUPS (Rao et al. 2015), Hi...
  2. ...framework for multiple ST analysis tasks, including spatial domain detection and cell cycle identification. Although these methods have successfully analyzed individual slices, they remain limited to two-dimensional (2D) analyses owing to their single-slice focus.As the availability of SO data derived from...
  3. ...et al. 2015) provide high-resolution measurements of chromatin accessibility in specific cellular contexts, they are resource-intensive and often unavailable for specific genetic variants. In the absence of such experimental assays, neural network–based predictions offer a reliable and efficient...
  4. ...is increasing rapidly. Accurate inference of cell lineage tree from large single-cell data is computationally challenging. In this paper, we present ScisTree2, a fast and accurate cell lineage tree inference and genotype calling approach based on the infinite-sites model. ScisTree2 relies on an efficient local...
  5. ...improved reproducibility, most existing efforts have automated only a subset of the workflow, and extending automation to efficiently map nonhistone proteins, such as chromatin regulators, remains challenging. Here, we present a fully automated implementation of our previously developed single-pot Ch...
  6. ...phenotype (Nevins and Potti 2007). One key application of signature scoring is cell annotation, as it offers a highly efficient and reliable method for classifying cells into types and states (Neftel et al. 2019). Notably, the quality of gene signatures plays a critical role in this process, as the accuracy...
  7. ....Overall, this study covers both the development of a cost-efficient strategy for generating spatial epigenomic maps on tissue sections and a bioinformatics strategy for a pioneer integrative effort in spatial chromatin-state profiling, essential for the field of “spatial omics,” anticipating the need for this type...
  8. ...the pattern detected in female GSCs (DeLuca et al. 2020).Distinct replication timing profiles in GSC-like and CySC-like cellsChromatin organization plays an integral role in regulating transcription and DNA replication. Given the differences in chromatin landscapes between GSC-like and CySC-like cells, we...
  9. ...tasks, including identifying active regulatory elements and interpreting disease-associated genetic variation. However, despite the widespread applications of SAGA methods, no principled approach exists to evaluate the statistical significance of chromatin state assignments. Here, we propose the first...
  10. ...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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