Author

Kuan-Li Ho

University of Hong Kong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chen Cheng· 1 shared Guocheng LaniD· 1 shared Guoliang WangiD· 1 shared Huili WangiD· 1 shared Joshua W. K. HoiD· 1 shared Jun Song· 1 shared Lu YuiD· 1 shared Meng WuiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Chen Cheng

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Accurate prediction of CRISPR editing outcomes in somatic cell lines and zygote with few-shot learning

Weizhong Zheng, Lu Yu, Guoliang Wang, Shaoxian Cao, Kuan-Li Ho, Jun Song, Chen Cheng, Joshua W. K. Ho, Xueqing Liu, Meng Wu, Zhonghua Liu, Huili Wang, Pentao Liu, Guocheng Lan, Yuanhua Huang

This paper introduces inDecay, a few-shot learning system for predicting CRISPR editing outcomes in cell lines and zygotes, achieving high accuracy with minimal data.

bioRxiv · Nov 8, 2024 · PreprintBioinformatics