124 citations · 132 across the 6 of their papers we have counts for
8 papers
Panoramic modelling of single-cell transcriptomes at scale with CellNet
Xiaoqing Lian, Pei Liu, Jiahui Tan +5
Comprehensively characterizing cellular diversity is critical for understanding tissue development, identifying disease-associated populations and investigating gene programmes lin…
Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity
Xiaoqing Lian, Pei Liu, Jiahui Tan +3
Single-cell RNA sequencing (scRNA-seq) enables cell-level analysis of biological heterogeneity, but learning effective representations from high-dimensional, unordered gene express…
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning
Yu Wang, Chao Pang, Yuzhe Wang +5
Leveraging artificial intelligence for automatic retrosynthesis speeds up organic pathway planning in digital laboratories. However, existing deep learning approaches are unexplain…
Reference-Based Sequence Classification
Zengyou He, Guangyao Xu, Chaohua Sheng +2
Sequence classification is an important data mining task in many real world applications. Over the past few decades, many sequence classification methods have been proposed from di…
Instance-Based Classification through Hypothesis Testing
Zengyou He, Chaohua Sheng, Yan Liu +1
Classification is a fundamental problem in machine learning and data mining. During the past decades, numerous classification methods have been presented based on different princip…
HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
Shixiang Wan, Quan Zou
Predicting the subcellular localization of proteins is an important and challenging problem. Traditional experimental approaches are often expensive and time-consuming. Consequentl…
HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing
Shixiang Wan, Quan Zou
Multiple sequence alignment (MSA) plays a key role in biological sequence analyses, especially in phylogenetic tree construction. Extreme increase in next-generation sequencing res…
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Quan Zou, Shixiang Wan, Ying Ju +2
Background: It is necessary and essential to discovery protein function from the novel primary sequences. Wet lab experimental procedures are not only time-consuming, but also cost…