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Updated: Jan 16, 2026

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
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Published on: February 11, 2019

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PTF-Vāc:一种可解释和生成的深度共同学习编码解码系统,用于初步发现植物转录因子结合位点

Sagar Gupta1, Jyoti1, Umesh Bhati1

  • 1Studio of Computational Biology & Bioinformatics, The Himalayan Centre for High-throughput Computational Biology, (HiCHiCoB, A BIC Supported by DBT, India), Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP 176061, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.

Plant communications
|October 2, 2025
PubMed
概括

一个新的AI系统,PTF-Vāc,准确地发现了植物转录因子结合点 (TFBS) 和基因. 这种通用模型克服了现有工具的局限性,使得TFBS可以发现无论物种或数据量如何.

关键词:
在DenseNet中,使用的是DenseNet.变压器变压器变压器深度学习是一种深度学习.编码器 解码器转录因子的转录因子转录规则 转录规则 转录规则

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