Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection

no code implementations • 11 Dec 2019 • Huiwei Zhou, Xuefei Li, Weihong Yao, Zhuang Liu, Shixian Ning, Chengkun Lang, Lei Du

Finally, the selected relation embedding and the context features are concatenated for PPI extraction.

Relation

Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction

no code implementations • 23 Dec 2019 • Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin, Lei Du

Results: This paper proposes a novel model called "Knowledge-guided Convolutional Networks (KCN)" to leverage prior knowledge for CDR extraction.

Entity Embeddings Relation +1

Knowledge-aware Attention Network for Protein-Protein Interaction Extraction

1 code implementation • 7 Jan 2020 • Huiwei Zhou, Zhuang Liu1, Shixian Ning, Chengkun Lang, Yingyu Lin, Lei Du

Protein-protein interaction (PPI) extraction from published scientific literature provides additional support for precision medicine efforts.

Feature Engineering

A Multi-task Deep Feature Selection Method for Brain Imaging Genetics

no code implementations • 1 Jul 2021 • Chenglin Yu, Dingnan Cui, Muheng Shang, Shu Zhang, Lei Guo, Junwei Han, Lei Du, Alzheimer's Disease Neuroimaging Initiative

Though deep learning models can extract the nonlinear relationship, they could not select relevant genetic factors.

feature selection

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps

no code implementations • 10 Sep 2023 • Yaonai Wei, Tuo Zhang, Han Zhang, Tianyang Zhong, Lin Zhao, Zhengliang Liu, Chong Ma, Songyao Zhang, Muheng Shang, Lei Du, Xiao Li, Tianming Liu, Junwei Han

In this study, we propose a method called Chat2Brain that combines LLMs to basic text-2-image model, known as Text2Brain, to map open-ended semantic queries to brain activation maps in data-scarce and complex query environments.