11 citations · 12 across the 3 of their papers we have counts for
3 papers
q-bio.GN2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review
Matthew Brendel, Chang Su, Zilong Bai +3
Single-cell RNA-sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously. Analysis of scRNA-…
cs.IR2019★ 11 cited
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Sendong Zhao, Chang Su, Andrea Sboner +1
Effective biomedical literature retrieval (BLR) plays a central role in precision medicine informatics. In this paper, we propose GRAPHENE, which is a deep learning based framework…
cs.LG2018★ 1 cited
A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu +5
This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learnin…