1 citations · 1 across the 3 of their papers we have counts for
3 papers
q-bio.QM2025
ST2HE: A Cross-Platform Framework for Virtual Histology and Annotation of High-Resolution Spatial Transcriptomics Data
Zhentao Liu, Arun Das, Wen Meng +3
High-resolution spatial transcriptomics (HR-ST) technologies offer unprecedented insights into tissue architecture but lack standardized frameworks for histological annotation. We…
q-bio.GN2021★ 1 cited
Deep learning tackles single-cell analysis A survey of deep learning for scRNA-seq analysis
Mario Flores, Zhentao Liu, Ting-He Zhang +10
Since its selection as the method of the year in 2013, single-cell technologies have become mature enough to provide answers to complex research questions. With the growth of singl…
eess.SP2019
Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks
Zhentao Liu, Jeffrey Mock, Yufei Huang +1
Recent behavioral and electroencephalograph (EEG) studies have defined ways that auditory spatial attention can be allocated over large regions of space. As with most experimental…