Home ›
Entities
› academia
› DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
Research article (Briefings in Bioinformatics, 2023) · cited 19× · AI/ML
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
Summary
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences is a scholarly article[1].
Key Facts
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepformer-a-hybrid-network-based-on-convolutional-neural-network-and-flow-attention-mechanism-for-identifying-the-funct
MLA“DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepformer-a-hybrid-network-based-on-convolutional-neural-network-and-flow-attention-mechanism-for-identifying-the-funct.
BibTeX@misc{4ortxyz_deepformer-a-hybrid-network-based-on-convolutional-neural-network-and-flow-attention-mechanism-for-identifying-the-funct_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences}}, year = {2026}, url = {https://4ort.xyz/entity/deepformer-a-hybrid-network-based-on-convolutional-neural-network-and-flow-attention-mechanism-for-identifying-the-funct}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences — https://4ort.xyz/entity/deepformer-a-hybrid-network-based-on-convolutional-neural-network-and-flow-attention-mechanism-for-identifying-the-funct (retrieved 2026-05-24)
