Yihe Pang - researchr alias

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Viewing Publication 1 - 8 from 8

2023

TransDFL: Identification of Disordered Flexible Linkers in Proteins by Transfer LearningYihe Pang, Bin Liu 0014. gpb, 21(2):359-369, April 2023. [doi]

IDP-LM: Prediction of protein intrinsic disorder and disorder functions based on language modelsYihe Pang, Bin Liu. ploscb, 19(11), November 2023. [doi]

2022

SelfAT-Fold: Protein Fold Recognition Based on Residue-Based and Motif-Based Self-Attention NetworksYihe Pang, Bin Liu 0014. tcbb, 19(3):1861-1869, 2022. [doi]

DMFpred: Predicting protein disorder molecular functions based on protein cubic language modelYihe Pang, Bin Liu. ploscb, 18(10):1010668, October 2022. [doi]

DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention networkYi-Jun Tang, Yihe Pang, Bin Liu 0014. bioinformatics, 38(5):1252-1260, 2022. [doi]

2021

IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learningYi-Jun Tang, Yihe Pang, Bin Liu. bioinformatics, 36(21):5177-5186, 2021. [doi]

2019

Paragraph Coherence Detection Model Based on Recurrent Neural NetworksYihe Pang, Jie Liu, Jianshe Zhou, Kai Zhang. swarm 2019: 122-131 [doi]

A Deep Neural Network Model for Joint Entity and Relation ExtractionYihe Pang, Jie Liu, Lizhen Liu, Zhengtao Yu 0001, Kai Zhang. access, 7:179143-179150, 2019. [doi]

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