Lu Zhang

Orcid: 0000-0002-2794-7371

Affiliations:
  • Hong Kong Baptist University, Department of Computer Science, LKS, Institute for Research and Continuing Education, Shenzhen, China


According to our database1, Lu Zhang authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Benchmarking multi-platform sequencing technologies for human genome assembly.
Briefings Bioinform., September, 2023

Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute.
Briefings Bioinform., May, 2023

Benchmarking genome assembly methods on metagenomic sequencing data.
Briefings Bioinform., March, 2023

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants.
Briefings Bioinform., January, 2023

2022
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
Briefings Bioinform., November, 2022

A machine learning model for disease risk prediction by integrating genetic and non-genetic factors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs.
BMC Bioinform., 2021

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
Briefings Bioinform., 2021

An ensemble deep learning framework to refine large deletions in linked-reads.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2016
More accurate models for detecting gene-gene interactions from public expression compendia.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Reconstructing directed gene regulatory network by only gene expression data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013
PriVar: a toolkit for prioritizing SNVs and indels from next-generation sequencing data.
Bioinform., 2013


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