Author

Min Zhang

ORCID 0009-0003-4063-0082Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Min Zhang7 papers · Fudan University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Adarsh K. Jeewajee· 1 shared Jonah A. EatoniD· 1 shared Leila PirhajiiD· 1 shared Maria Karasarides· 1 shared Matthew Morris· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 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

Adarsh K. Jeewajee

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 26, 2025

mzLearn, a data-driven LC/MS signal detection algorithm, enables pre-trained generative models for enhanced patient stratification

Leila Pirhaji, Jonah A. Eaton, Adarsh K. Jeewajee…·Maria Karasarides

mzLearn improves metabolite signal detection and enables pre-trained generative models for better patient stratification in metabolomics.

DOI 10.1101/2025.01.26.634927

humanmetabolomics

𝕏 PostBluesky