Author

Samaksh Goyal

Argonne National Laboratory

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

Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexander BraceiD· 1 shared Boris Sadhkin· 1 shared Christopher S. HenryiD· 1 shared Dileep KishoreiD· 1 shared Janaka N. EdirisingheiD· 1 shared Qizhi ZhangiD· 1 shared Ricardo ColasantiiD· 1 shared Roy T. KamimuraiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperSystems Biology

Alexander BraceORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine Learning-Driven Phenotype Predictions based on Genome Annotations

Janaka N. Edirisinghe, Samaksh Goyal, Alexander Brace, Zahmeeth Sakkaff, Venkat Sai Suman Lamba Karanam, Dileep Kishore, Ricardo Colasanti, Tianhao Gu, Boris Sadhkin, Qizhi Zhang, Roy T. Kamimura, Christopher S. Henry

This paper develops a machine learning framework using genome annotations to predict bacterial phenotypes, achieving high accuracy for Gram-stain type and respiration type.

bioRxiv · Aug 11, 2023 · PreprintSystems Biology