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An active learning approach for clustering single-cell RNA-seq data
Xiang Lin
, Haoran Liu
,
Zhi Wei
,
Senjuti Basu Roy
, Nan Gao
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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Dive into the research topics of 'An active learning approach for clustering single-cell RNA-seq data'. Together they form a unique fingerprint.
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Keyphrases
Active Learning
80%
Active Learning Approach
100%
Active Learning Framework
20%
Biological Interpretability
20%
Biologists
40%
Cell Annotation
20%
Cell Labeling
20%
Cellular Heterogeneity
20%
Clustering Analysis
20%
High-resolution
20%
Labeled Cells
20%
Learning Algorithm
20%
Learning Model
80%
Learning Strategies
20%
Manual Labeling
20%
Sequencing Data Analysis
20%
Single-cell RNA Sequencing (scRNA-seq)
20%
Single-cell RNA Sequencing Data
100%
Single-cell RNA-seq Data
100%
Superior Performance
20%
Unsupervised Clustering Method
20%
Unsupervised Learning
20%
Computer Science
Active Learning
100%
Annotation
14%
Clustering Analysis
14%
Clustering Method
14%
Interpretability
14%
Learning Algorithm
14%
Learning Approach
100%
Learning Framework
14%
Superior Performance
14%
Unsupervised Learning
14%
Neuroscience
RNA Sequence
100%
RNA-Seq
100%
Chemical Engineering
Unsupervised Learning
100%