Author

S. S. Solomon

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

Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

A. Brahmaiah· 1 shared A. Daigavane· 1 shared A. Duren-Lubanski· 1 shared A. Geraschenko· 1 shared A. Narayanaswamy· 1 shared A. Shet· 1 shared B. Fischbacher· 1 shared B. K. Das· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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 paperMicrobiology

A. Brahmaiah

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The evolution of regulatory elements in the emerging promoter variant strains of HIV-1

D. Bhange, N. Prasad, S. Singh, H. K. Prajapati, S. P. Maurya, B. P. Gopalan, S. Nadig, D. Chaturbhuj, J. Boobalan, T. R. Dinesha, S. F. Ahamed, N. Singh, A. Brahmaiah, K. Mehta, Y. Gohil, , U. Ranga

The paper identifies nine promoter-variant strains of HIV-1C in Indian patients, showing genetic diversity in transcription factor binding sites that may affect viral latency and reservoir characteristics.

bioRxiv · Apr 28, 2021 · PreprintMicrobiology

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology