Searching journal content for articles similar to Li et al. 33 (9): 1599.

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  1. ...and subjected to principal component analysis (PCA) via the scanpy.tl.pca() function, in which the top 50 principal components were computed. A k-nearest neighbor (KNN) graph was then constructed using 10 neighbors and the first 40 principal components using the scanpy.pp.neighbors() function. Clustering...
  2. ...-mer methods generally report a quality value (QV), a log base 10–scaled measure of assembly error, with higher values indicating more accurate assemblies. We find that DeepPolisher improves the k-mer-based assembly QV by 1.8, equivalent to a 34% reduction in errors, which is approximately consistent...
  3. ...) PCA plots of both the retina cohort data and the benchmark data. Red denotes the bulk data to be deconvolved; blue denotes the benchmark bulk data; and green denotes the benchmark pseudobulk data. (B,C) Panels demonstrating the robustness of DeMixSC to different reference matrices at both the cell...
  4. ...that nanopore-based detection methods depend on machine learning (ML) models to interpret sequencing signals accurately (Liu et al. 2019; Wang et al. 2021; Chen et al. 2025; Galeone et al. 2025). Therefore, developing bioinformatics tools for the large-scale, accurate, and efficient 4mC site identification...
  5. ...for identify-252 ing disease-associated clusters. spRefine may work as an effective pre-training253 framework to preserve biological signals with the help of intrinsic gene-gene inter-254 action supported by the embeddings from DNA foundation models. To validate this255 assumption, we collected large-scale...
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  6. ...@eitech.edu.cnAbstractDeciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To address this challenge, we propose a scalable computational framework...
  7. ...for practical use.We also aim for improving EquiRep's accuracy. The framework of EquiRep allows it to be improved in several ways. One approach is to enhance matrix refinement, which is crucial for producing accurate equivalence classes. The current method considers three mutually supportive pairs, but it can...
  8. ...), as described at http://creativecommons.org/licenses/by/4.0/.References ↵Bose A, Kalantzis V, Kontopoulou EM, Elkady M, Paschou P, Drineas P. 2019. TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes. Bioinformatics 35: 3679–3683. doi:10.1093/bioinformatics/btz157...
  9. ...Accurate short-read alignment through r-index-based pan indexing Rahul Varki1,4, Massimiliano Rossi1,4, Eddie Ferro1, Marco Oliva1, Erik Garrison2, Ben Langmead3 and Christina Boucher1 1Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida 32611...
  10. ...availability of biobank-scale data offers such opportunities, current methods are not efficient at leveraging very large sample sizes. The most accurate methods are still linkage disequilibrium (LD)–based methods that are only tractable for a few hundred samples. In this work, we propose a fast and memory...
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