Searching journal content for articles similar to Lenhard et al. 13 (6b): 1501.

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  1. ...Yidi Deng1,2, Jiadong Mao1,4, Jarny Choi3,4 and Kim-Anh Lê Cao1,4 1Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia; 2Research School of Finance, Actuarial Studies & Statistics, The Australian National University...
  2. ...in control and SETD3 KO HCT116 colorectal cancer cells using two independent gRNAs (Fig. 1A). ACTB genomic distribution was significantly reduced across the whole in the SETD3 KO cells (Fig. 1B–D). Integrative Genomics Viewer (IGV) tracks of different genomic regions in SETD3 control and SETD3 KO cells...
  3. ...for genomic data. Integrated into diverse architectures such as convoluted neural networks (CNNs), long short-term memory (LSTM), dilated CNNs, and transformers, ConvNeXt V2 blocks consistently improve performance, leading to similar prediction accuracy across these different model types. This reveals...
  4. ...Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease Yunxiao Ren1,2, Ming Hu3,4, Yang E. Li5, Andrew A. Pieper6,7,8,9,10,11, Jeffrey Cummings12 and Feixiong Cheng1,2,4,13 1Cleveland Clinic Genome Center, Cleveland Clinic Research...
  5. ...of the Austrian Academy of Sciences, 1090 Vienna, Austria; 11Eric and Wendy Schmidt Center, The Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA Corresponding author: valentina.boeva@inf.ethz.chAbstractGene signature scoring is integral to single-cell RNA sequencing (scRNA-seq) data analysis...
  6. ...Sophia N. Lee1, Erin C. Banda2,5, Lu Qiao1,5, Sarah L. Thompson1, Karan Singh3, Ryan A. Hagenson1, Teresa Davoli3, Stefan F. Pinter2,4 and Jason M. Sheltzer1 1Yale University School of Medicine, New Haven, Connecticut 06510, USA; 2Department of Genetics and Genome Sciences, UCONN Health, University...
  7. ...that collate and integrate many different sources of data and databases because ease of use and reliability are key.Three types of tools should be applied in parallel: – Genome browsers with multiple annotation tracks, especially the unrivalled University of California at Santa Cruz (UCSC) browser (Perez et al...
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  8. ...conducted a comprehensive comparison using six single-cell multiomics data sets: SNARE-seq, T cell bone marrow, CD34 bone marrow, CITE-ASAP, SHARE-seq, and 10x Multiome. scSHEFT was benchmarked against eleven other state-of-the-art data integration methods: scNym, Portal, Concerto, scGCN, Seurat, sc...
  9. ...integrated analyses of single-cell RNA-seq data from multiple human tissues and organs. Single-cell epigenomic data further indicate that the expression is likely driven by an alternative promoter at the end of the first exon, resulting in at least one shorter transcript (referred to as sXIST) that is active...
  10. ...310022, China; 9State Key Laboratory for Macromolecule Drugs and Large-scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325030, China ↵10 These authors contributed equally to this work. Corresponding authors: wuyf@immunol.org, reny@genomics.cn, jingang...
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