Author

Junxi Feng

Harvard University

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aakash Tammana· 1 shared Bridgett M. vonHoldtiD· 1 shared Changmou XuiD· 1 shared Christopher HeiD· 1 shared Colin P. FarrelliD· 1 shared Cong Liu· 1 shared Daniel R. StahleriD· 1 shared Elaine A. OstranderiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Aakash Tammana

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2 papers

Recent·Most cited

SAMP: Identifying Antimicrobial Peptides by an Ensemble Learning Model Based on Proportionalized Split Amino Acid Composition

Junxi Feng, Mengtao Sun, Cong Liu, Weiwei Zhang, Changmou Xu, Jieqiong Wang, Guangshun Wang, Shibiao Wan

SAMP identifies antimicrobial peptides using an ensemble model with new features, outperforming existing methods on multiple datasets.

Briefings in Functional Genomics · Nov 1, 2024Peer-reviewedBioinformatics

The effects of age, sex, weight and breed on canid methylomes

Liudmilla Rubbi, Haoxuan Zhang, Junxi Feng, Christopher He, Patrick Kurnia, Prashansa Ratan, Aakash Tammana, Sabina House, Michael James Thompson, Colin P. Farrell, Sagi Snir, Daniel R. Stahler, Elaine A. Ostrander, Bridgett M. vonHoldt, Matteo A. Pellegrini

This study examines how age, sex, weight, and breed influence DNA methylomes in canids, finding strong associations with age, sex, and sterilization status, and showing genetic and physiological factors moderate epigenetic aging.

Epigenetics · May 3, 2022Peer-reviewedBioinformatics