Author

Samrawit Gebre

Ames Research CenterORCID 0000-0002-8963-4856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Jonathan M. GalazkaiD· 2 shared Aahan RathodiD· 1 shared Aarav Jain· 1 shared Aarthi Chandar· 1 shared Aditi Adapala· 1 shared Aditya Prajapati· 1 shared Afshin BeheshtiiD· 1 shared Agastya NautiyaliD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 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

2 shared papersBioinformatics

Jonathan M. GalazkaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Machine Learning Ensemble Reveals Distinct Molecular Pathways of Retinal Damage in Spaceflown Mice

James A. Casaletto, Ryan T. Scott, Aahan Rathod, Aarav Jain, Aarthi Chandar, Aditi Adapala, Aditya Prajapati, Agastya Nautiyal, Anagha Jayaraman, Ananya Boddu, Anish Kelam, Anishka Jain, Bella Pham, Dhruv Shastry, Diya Narayanan, , Xiao Wen Mao

The paper uses machine learning to identify molecular pathways associated with retinal damage in spaceflown mice, revealing distinct signatures for oxidative stress and apoptosis.

npj Microgravity · Jul 3, 2026Peer-reviewedBioinformatics

NASA GeneLab RNA-Seq Consensus Pipeline: Standardized Processing of Short-Read RNA-Seq Data

Eliah G. Overbey, Amanda Saravia-Butler, Zhe Zhang, Komal S. Rathi, Homer W. Fogle, Willian A. da Silveira, Richard John Barker, Joseph J. Bass, Afshin Beheshti, Daniel C. Berrios, Elizabeth A. Blaber, Egle Cekanaviciute, Helio A. Costa, Laurence B Davin, Kathleen M Fisch, , Jonathan M. Galazka

The paper describes a standardized RNA-Seq pipeline for spaceflight data, enabling reproducible analysis of gene expression changes in astronauts and organisms exposed to spaceflight.

iScience · Mar 26, 2021Peer-reviewedBioinformatics