Guojun Liu

发表

A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data

Junying Zhang, Guojun Liu, 2021, Frontiers in Genetics.

CRSCNV: A Cross-Model-Based Statistical Approach to Detect Copy Number Variations in Sequence Data

Junying Zhang, Junbo Duan, Xiguo Yuan, 2020, IEEE Access.

NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework

Chao Wei, Xiguo Yuan, Junying Zhang, 2020, Knowl. Based Syst..

A shortest path-based approach for copy number variation detection from next-generation sequencing data

Xiguo Yuan, Guojun Liu, Hongzhi Yang, 2023, Frontiers in Genetics.

RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data

Chao Wei, Junying Zhang, Xiguo Yuan, 2020, Frontiers in Genetics.

MFCNV: A New Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Xiguo Yuan, Guojun Liu, Haiyong Zhao, 2020, Frontiers in Genetics.

Detection and inference of interspersed duplicated insertions from paired-end reads

Xiguo Yuan, Ruwu Yang, Guojun Liu, 2021, Digit. Signal Process..

Detection of copy number variations based on a local distance using next-generation sequencing data

Guojun Liu, Hongzhi Yang, Zongzhen He, 2023, Frontiers in genetics.

A deep learning framework with hybrid encoding for protein coding regions prediction in biological sequences

Chao Wei, Junying Zhang, Xiguo Yuan, 2020, bioRxiv.