Publications by authors named "Jinyu Park"
Feature selection (marker gene selection) is widely believed to improve clustering accuracy, and is thus a key component of single cell clustering pipelines. Existing feature selection methods perform inconsistently across datasets, occasionally even resulting in poorer clustering accuracy than without feature selection. Moreover, existing methods ignore information contained in gene-gene correlations.
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- Clustering is vital in analyzing single-cell data, with unsupervised methods relying on gene expression and supervised methods using a reference of labeled transcriptomes, both offering unique advantages and limitations.
- SCCONSENSUS is a new framework that combines both clustering approaches to create a consensus clustering, enhancing results by integrating unsupervised and supervised findings and refining clusters through differential gene expression.
- The framework improves cluster separation and consistency, resulting in more accurate cell type identification, and is available for free on GitHub.
We report a case of isodicentric chromosome 15 (idic(15) chromosome), the presence of which resulted in uncontrolled seizures, including epileptic spasms, tonic seizures, and global developmental delay. A 10-month-old female infant was referred to our pediatric neurology clinic because of uncontrolled seizures and global developmental delay. She had generalized tonic-clonic seizures since 7 months of age.
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