Chengzhong Ye - Concepedia

Author

Chengzhong Ye

Tsinghua University ORCID

Also Known As

Chengzhong Ye, Ye, Chengzhong

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

Tsinghua University University of Pennsylvania University of California, Berkeley The University of Melbourne Nankai University

About

Chengzhong Ye is an author at Tsinghua University specializing in medicine, bioinformatics, and single-cell analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	5	5	1.2K
2	Engineering	2	2	210
3	Health Sciences	1	1	963
4	Natural Sciences	1	1	46
5	Public Health	1	1	28

Chengzhong Ye

Publications

1.5K

Citations

H-Index

Page 1

	Year	Citations
Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis Peter Savas, Balaji Virassamy, Chengzhong Ye, Nature Medicine Breast OncologyOncologyImproved PrognosisTumor HeterogeneityMedicine	2018	963
Data denoising with transfer learning in single-cell transcriptomics Jingshu Wang, Divyansh Agarwal, Mo Huang, Nature Methods Functional GenomicsEngineeringSingle Cell SequencingMedicineComputational Biology	2019	199
Surface protein imputation from single cell transcriptomes by deep neural networks Zilu Zhou, Chengzhong Ye, Jingshu Wang, Nature Communications	2020	88
Cross-protein transfer learning substantially improves disease variant prediction Milind Jagota, Chengzhong Ye, Carlos Albors, Genome biology	2023	66
DECENT: differential expression with capture efficiency adjustmeNT for single-cell RNA-seq data Chengzhong Ye, Terence P. Speed, Agus Salim Bioinformatics	2019	61
A DNA language model based on multispecies alignment predicts the effects of genome-wide variants Gonzalo Benegas, Carlos Albors, Alan J. Aw, Nature Biotechnology Genome-wide VariantsMolecular EcologyNatural SciencesGeneticsEvolutionary Biology	2025	46
GPN-MSA: an alignment-based DNA language model for genome-wide variant effect prediction Gonzalo Benegas, Carlos Albors, Alan J. Aw, GeneticsGenetic EpidemiologyComplex GenomesGenomicsSequence Alignment	2023	28
Surface protein imputation from single cell transcriptomes by deep neural networks Zilu Zhou, Chengzhong Ye, Jingshu Wang,	2019	14
Data Denoising with transfer learning in single-cell transcriptomics Jingshu Wang, Divyansh Agarwal, Mo Huang, EngineeringMachine LearningGeneticsAutoencodersTranscriptomics Technology	2018	11

Page 1