Zixuan Wang

发表

Towards a better understanding of TF-DNA binding prediction from genomic features

Jiliu Zhou, Yuhang Liu, Maocheng Wang, 2022, Comput. Biol. Medicine.

Uncovering the Relationship between Tissue-Specific TF-DNA Binding and Chromatin Features through a Transformer-Based Model

Yuhang Liu, Maocheng Wang, Yongqing Zhang, 2022, Genes.

The interplay of transcriptional coregulator NUPR1 with SREBP1 promotes hepatocellular carcinoma progression via upregulation of lipogenesis

Yongjia Wang, Yang Liu, Yuqin Zhang, 2022, Cell Death Discovery.

Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning

Q. Zou, Maocheng Wang, Yongqing Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method

Jiliu Zhou, Q. Zou, Yongqing Zhang, 2021, Briefings Bioinform..

MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning

Q. Zou, Maocheng Wang, Yongqing Zhang, 2023, International journal of molecular sciences.

Single-cell TF-DNA binding prediction and analysis based on transfer learning framework

Q. Zou, Yun Yu, Maocheng Wang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Densely Convolutional Neural Network for Transcription Factor Binding Sites Prediction Using DNA Sequence and Histone Modification

Beichen Li, Yongqing Zhang, Zixuan Wang, 2022, 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD).

By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics

Quan Zou, Yongqing Zhang, Zixuan Wang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites Prediction

Xiaoyao Tan, Zixuan Wang, Beichen Li, 2021, ISBRA.

Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.

Q. Zou, Beichen Li, Yongqing Zhang, 2023, Methods.

AMB-Wnet: Embedding attention model in multi-bridge Wnet for exploring the mechanics of disease.

Wenbo Wan, Jian Wang, Zixuan Wang, 2022, Gene expression patterns : GEP.

Verdi: Quality Estimation and Error Detection for Bilingual Corpora

Zixuan Wang, Di Niu, Mingjun Zhao, 2021, WWW.

Tencent submission for WMT20 Quality Estimation Shared Task

Yulin Zhang, Xiaoli Wang, Qingsong Ma, 2020, WMT.

Tencent Submissions for the CCMT 2020 Quality Estimation Task

Qingsong Ma, Zixuan Wang, Haijiang Wu, 2020, CCMT.

A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder

Q. Zou, Yongqing Zhang, Zixuan Wang, 2023, International journal of molecular sciences.

A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape

Jiliu Zhou, Q. Zou, Maocheng Wang, 2021, Briefings Bioinform..

Imbalanced Multi-class Classification Based on Bi-Criterion Evolution Sampling and Ensemble Learning

Yongqing Zhang, Zixuan Wang, Meng Lin, 2023, 2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD).

HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency

Jiliu Zhou, Yongqing Zhang, Zixuan Wang, 2023, Bioinform..

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding

Naifeng Wen, Yongqing Zhang, Zixuan Wang, 2023, Bioinformatics.

HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction

Yongqing Zhang, Zixuan Wang, Hao Yuan, 2023, Briefings Bioinform..

scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.

Yongqing Zhang, Zixuan Wang, Meiqin Gong, 2024, Computers in biology and medicine.

Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation

Yongqing Zhang, Zixuan Wang, Yuhang Liu, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics

Q. Zou, Yuhang Liu, Yongqing Zhang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).