Author

Aneeta Uppal

University of North Carolina at Charlotte

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

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

Frequent Co-Authors

Colby T. FordiD· 1 shared Conor Nodzak· 1 shared Xinghua Mindy ShiiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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

Colby T. FordORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 5, 2019

Prediction of the Effect of Naturally Occurring Missense Mutations on Cellular N-Acetyl-Glucosaminidase Enzymatic Activity

Colby T. Ford, Aneeta Uppal, Conor Nodzak, Xinghua Mindy Shi

The paper predicts the effect of NAGLU missense mutations on enzymatic activity using machine learning and PolyPhen-2 scores, finding they are good predictors of functionality.

1 citation

humanwhole-exome sequencing

𝕏 PostBluesky