In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

We thank Dr. Jianzhi Zhang, Dr. Xionglei He, Dr. Weiwei Zhai, Shanshan Chen, Han Liu, Tianhan Wang, and three anonymous reviewers for valuable comments. This work was supported by the Strategic ...

A general approach to the construction of convergence acceleration methods for vector sequences is proposed. Using this approach, one can generate some known methods, such as the minimal polynomial ...

Sequencing refers to the techniques used to determine the primary structure of an unbranched biopolymer (DNA, RNA, protein, carbohydrate) resulting in a symbolic linear depiction of the monomeric ...

Genomics is the study of the full genetic complement of an organism (the genome). It employs recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyse the ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

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This work is a important resource for hypothesis testing of candidate upstream transcriptional regulatory factors that control the spatiotemporal expression of selector genes and their targets for ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...

Viral infections pose a major threat to global health, causing severe pneumonia, meningitis, hepatitis, and fatal complications. Viruses are highly dependent on host cellular factors to complete their ...