Searching journal content for articles similar to Allen et al. 14 (1): 142.

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  1. ...using this method requires a substantial amount of computing resources, posing a significant challenge for researchers with limited computing capabilities. To address these challenges, several models of modest size have been proposed to improve the performance of gene expression prediction by utilizing...
  2. ...and enable independent feature importance 331 assessment(Wang et al. 2020; Zhu et al. 2025a), and 3) incorporation of in silico mutational 332 landscapes (Chen et al. 2022) and gene-editing datasets. Multimodal integration will advance 333 phenotype prediction from single-source models to large...
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  3. ...functional diversification during evolution. In this study, we seek to identify the diversification and potential gene neofunctionalization of lung tumors in the TRACERx cohort. We develop a novel computational protocol to identify preduplication and postduplication mutations predicted to affect protein...
  4. ...module further improves model interpretability. Extensive tests on eight diseases and two quantitative traits demonstrate the superiority of PRS-Net over multiple baseline PRS methods in disease prediction and gene discovery.A standard clumping and thresholding (C + T) PRS integrates not only -wide...
  5. ...) Collection and preprocessing of snRNA-seq and snATAC-seq data sets in physical space. (B) Multiple analysis to identify an AD-associated gene list including differential gene expression analysis; identification of cCRE; cell type–specific, AD-associated risk variants; and peak-to-gene linkages. (C) Two...
  6. ...to increase the stability of results in case of strong technical variation and batch effects. UCell is solely based on Mann–Whitney U statistics (Andreatta and Carmona 2021) and is expected to be robust against technical variation as it only uses per-cell gene rank information. JASMINE computes scores...
  7. ...regulatory events occur at TF binding sites some distance from the TSS, and predicting these is crucial in computational genetics. TF binding operates within a topologically associating domain typically upstream of the TSS but sometimes within the gene. However, predicting the boundaries of this domain...
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  8. ...and size of the edges correspond to the probability assigned by PRISM-GRN in the predicted GRN. (C) GO enrichment analysis results for the 25 genes in CD4 naive cells. The FDR indicates the significance of enrichment, with P-values corrected for multiple testing using the Benjamini–Hochberg procedure...
  9. .... Order determined by a coin flip. Corresponding author: braphael@princeton.eduAbstractSpatially resolved transcriptomics (SRT) technologies measure gene expression across thousands of spatial locations within a tissue slice. Multiple SRT technologies are currently available and others are in active...
  10. ...-positive/false-negative rates of the manually predicted IG genes in these assemblies.Figure 1A illustrates the IterativeIGDetective pipeline with emphasis on detecting V genes. It starts by identifying a contig (or multiple contigs) containing the IGH locus in the target species and finding candidate RSSs in this locus based...
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