Author

Neha Mishra

Christian-Albrechts-Universität zu KielORCID 0000-0001-6451-579XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Neha Mishra3 papers · Indraprastha Institute of Information Technology Delhi

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abhijit BiswasiD· 1 shared Alexander BartholomäusiD· 1 shared Alexander DiltheyiD· 1 shared Alexander GoesmanniD· 1 shared Andreas DiefenbachiD· 1 shared Andreas KelleriD· 1 shared Angel AngeloviD· 1 shared Anke BeckeriD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Abhijit BiswasORCID

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2 papers

Recent·Most cited

BiochemistryMicrobes & ImmunityPeer-reviewedJul 24, 2026

Synthesis and In Vitro Assessment of Triazole-Based Compounds as Potential Inhibitors of Herpes Simplex Virus Type 1

Neha U. Mishra, Kiran K. Sanap, Pritesh C. Sharma…·Dhiraj Devidas Bhatia

This study synthesizes and evaluates triazole-pyrazine derivatives for anti-HSV-1 and antioxidant activity, finding compounds 5f and 5t show improved antiviral efficacy compared to Acyclovir.

DOI 10.36922/mi025410112

experimental assaydrug response / drug discovery

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BioinformaticsNaturePeer-reviewedMay 26, 2021

Swarm Learning as a privacy-preserving machine learning approach for disease classification

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Shastry…·Alexander Goesmann

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

884 citationstop 1%

humanbulk RNA-seq

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