Author

Chloe F. Sands

Baylor College of Medicine

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

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Genetics· 2

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dimitrios VitsiosiD· 2 shared Ryan S. DhindsaiD· 2 shared Slavé PetrovskiiD· 2 shared Alexander L. HaniD· 1 shared Anthony William ZoghbiiD· 1 shared Arya J. ShettyiD· 1 shared Blake WeidoiD· 1 shared Carlos D. BustamanteiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersGenetics

Dimitrios VitsiosORCID

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2 papers

Recent·Most cited

GeneticsNature CommunicationsPeer-reviewedMar 18, 2025

Diverse ancestral representation improves genetic intolerance metrics

Alexander L. Han, Chloe F. Sands, Dorota Matelska…·Ryan S. Dhindsa

This study shows that genetic diversity improves the performance of intolerance metrics in identifying disease-related genes, with multi-ancestry data outperforming European-only datasets.

9 citationstop 4%

humanwhole-exome sequencing

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GeneticsThe American Journal of Human GeneticsPeer-reviewedFeb 26, 2025

Genome-wide prediction of dominant and recessive neurodevelopmental disorder risk genes

Ryan S. Dhindsa, Blake Weido, Justin S. Dhindsa…·Anthony William Zoghbi

This paper develops machine learning models to predict neurodevelopmental disorder risk genes using single-cell RNA-seq data and inheritance patterns, achieving high predictive accuracy.

15 citationstop 3%

humanscRNA-seq

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