Author

Kajia Cao

Children's Hospital of Philadelphia

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:whole-exome sequencing· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ahmad N. Abou TayouniD· 2 shared Chao WuiD· 2 shared Mahdi SarmadyiD· 2 shared Xiaonan ZhaoiD· 2 shared Avni SantaniiD· 1 shared Batsal DevkotaiD· 1 shared Bryan L. KrockiD· 1 shared Ian D. KrantziD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Ahmad N. Abou TayounORCID

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2 papers

Recent·Most cited

BioinformaticsClinical ChemistryPeer-reviewedOct 31, 2019

Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing

Chao Wu, Xiaonan Zhao, Mark Welsh…·Mahdi Sarmady

The paper presents a machine learning classifier to identify true somatic variants from next-generation sequencing data, achieving high specificity and sensitivity with minimal uncertainty.

15 citations

whole-exome sequencingmachine learning (classical)

𝕏 PostBluesky

BioinformaticsEuropean Journal of Human GeneticsPeer-reviewedJan 9, 2019

Rapid and Accurate Interpretation of Clinical Exomes Using Phenoxome: a Computational Phenotype-driven Approach

Chao Wu, Batsal Devkota, Perry Evans…·Mahdi Sarmady

Phenoxome improves clinical exome variant prioritization by integrating phenotypic and genomic data, achieving high accuracy in identifying causative variants.

19 citations

humanwhole-exome sequencing

𝕏 PostBluesky