8 citations · 10 across the 4 of their papers we have counts for
4 papers
Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
Yan Yang, Md Zakir Hossain, Xuesong Li +2
Spatial transcriptomics (ST) captures gene expression within distinct regions (i.e., windows) of a tissue slide. Traditional supervised learning frameworks applied to model ST are…
ISG: I can See Your Gene Expression
Yan Yang, LiYuan Pan, Liu Liu +1
This paper aims to predict gene expression from a histology slide image precisely. Such a slide image has a large resolution and sparsely distributed textures. These obstruct extra…
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
Yan Yang, Md Zakir Hossain, Eric A Stone +1
Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows…
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
Yan Yang, Zakir Hossain, Khandaker Asif +3
De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data. Existing approaches for de novo analysis enumerate MS evidence…