analysis in order to ensure that the candidate gene transcription in response to FLS is directly related to the GWAS results. The leaves of each soybean accession from the FLS inoculation and the ...

To enhance the compound fault diagnosis performance, this work proposed a compound fault transfer diagnosis method that uses the multilabel Transformer-based transfer learning network. Initially, the ...

Department of Pharmacology and Molecular Sciences, Johns Hopkins University, Baltimore, United States ...

The three-dimensional (3D) chromatin structure of Epstein–Barr virus (EBV) within host cells and the underlying mechanisms of chromatin interaction and gene regulation, particularly those involving ...

It usually grows in wooded, swampy areas and is a member of the cashew family. Sumac has alternate compound leaves with pointed, shiny leaflets and a red stem. The woody plantgrows to 15 feet tall ...

The team introduced contextualized modeling, a family of ultra-personalized machine learning methods, to build individualized gene network models for nearly 8,000 tumors across 25 cancer types ...

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful new artificial intelligence tool that can predict the 3D shape of ...

Abstract: In compound fault diagnosis, the scarcity of samples leads to a low fault diagnosis rate. Existing zero-shot compound fault diagnosis methods lack the ability to simultaneously recognize ...

The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Large-scale comparison of gene families across ...