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CellFateExplorer: An integrated platform for exploring cell fate
Trajectory inference algorithms based on single-cell omics data are powerful tools for predicting and dissecting cell differentiation. …
Zhaoyang Huang
,
Haonan Ma
,
Yuchuan Peng
,
Chenguang Zhao
,
Liang Yu
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Computational approaches for predicting drug-disease associations: a comprehensive review
In recent decades, traditional drug research and development have been facing challenges such as high cost, long timelines, and high …
Zhaoyang Huang
,
Zhichao Xiao
,
Chunyan Ao
,
Lixin Guan
,
Liang Yu
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Accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data
RNA velocity, as an extension of trajectory inference, is an effective method for understanding cell development using single-cell RNA …
Zhaoyang Huang
,
Xinyang Guo
,
Jie Qin
,
Lin Gao
,
Fen Ju
,
Chenguang Zhao
,
Liang Yu
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Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching
Accurately identifies the cellular composition of complex tissues, which is critical for understanding disease pathogenesis, early …
Xinyang Guo
,
Zhaoyang Huang
,
Fen Ju
,
Chenguang Zhao
,
Liang Yu
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Predicting new drug indications based on double variational autoencoders
Experimental drug development is costly, complex, and time-consuming, and the number of drugs that have been put into application …
Zhaoyang Huang
,
Shengjian Chen
,
Liang Yu
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