Searching journal content for articles similar to Iovino et al. 34 (9): 1434.

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  1. ...%) and in Supplemental Figure S53, A–C, through Supplemental Figure S55, A–C (for an error rate of 20%). EquiRep is able to make better or similar predictions in all cases, indicating that its algorithm is the least affected by the presence of embedding k-mers within repeat units.Evaluation using human satellite DNA...
  2. ...are essential for detecting TFs below 3%. NanoRCS provides an opportunity for cost-effective and rapid sample processing, which aligns well with clinical needs, particularly in settings where quick and accurate cancer monitoring is essential for personalized treatment strategies.A recent advancement in cancer...
  3. ...transcript breakpoint at each gene for each method. Similar to the fusion gene ordering, only CTAT-LR-Fusion and JAFFAL demonstrated highly accurate fusion transcript breakpoint detection (ignoring gene ordering during breakpoint evaluation). While FusionSeeker, LongGF, and pbfusion demonstrated little...
  4. ...of the sequences and CPU memory. The time to produce an alignment depends on the number of sequences in the alignment and on the number of iterations required to place all amino acids (Supplemental Fig. 3A). After embedding, an alignment of 20 sequences when run on an NVIDIA A100 GPU (for similarity searches...
  5. ...single-cell integration (scInt), an integration method based on accurate, robust cell–cell similarity construction and unified contrastive biological variation learning from multiple scRNA-seq data sets. scInt provides a flexible and effective approach to transfer knowledge from the already integrated...
  6. ...-guided precision oncology is to search for evidence of gene fusions in RNA sequencing (RNA-seq) data.Although a variety of computational tools for the detection of gene fusions have been developed over the years, there is still no gold standard. The reliable prediction of gene fusions from short-read RNA-seq has...
  7. ...for their ability to support accurate cell-type clustering and will revisit them with further evaluations in the batch effect removal section below. We note that scDisInFact provides functionality to reconstruct batch-removed counts whereas scParser does not, so we compare to both scDisInFact embeddings and counts...
  8. ...interpretationmodels can intelligently evaluate the combined search spaces to generate local and global interpretations. The Shapley additive explanations (SHAP) method (Lundberg et al. 2020; Novakovsky et al. 2023) has emerged as a prominent tool for explaining multiple biological features. However, it has not been...
  9. ...discovery rate can also scale quadratically. To enable accurate and efficient large-scale IBD detection, we present Parente2, a novel method for detecting IBD segments. Parente2 is based on an embedded log-likelihood ratio and uses a model that accounts for linkage disequilibrium by explicitly modeling...
  10. ...methods have been proposed to analyze individual slices. A critical step in these analyses is the identification of spatial domains, which involves clustering spots with similar molecular expression profiles and spatial locations in an unsupervised manner. Accurate integration of molecular expression...
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