1 citations · 1 across the 4 of their papers we have counts for
4 papers
m6A-FORM: An m6A-focused Foundation Model for Decoding m6A Regulatory Function
Ting-He Zhang, Sumin Jo, Shou-Jiang Gao +1
N6-methyladenosine (m6A) regulates mRNA fate through site-specific methylation, reader recognition and downstream effects on RNA stability and decay. However, current computational…
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…
Understanding YTHDF2-mediated mRNA Degradation By m6A-BERT-Deg
Ting-He Zhang, Sumin Jo, Michelle Zhang +3
N6-methyladenosine (m6A) is the most abundant mRNA modification within mammalian cells, holding pivotal significance in the regulation of mRNA stability, translation, and splicing.…
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…