Author

Lars Rönnstrand

Lund UniversityORCID 0000-0003-1275-5809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Ahmad Nasimian· 2 shared Julhash Uddin KaziiD· 2 shared Özge TatlıiD· 2 shared Saleena YounusiD· 2 shared Emma U. HammarlundiD· 1 shared Kenneth J. PientaiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Ahmad Nasimian

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 18, 2024

Understanding the characteristic behavior of the wild-type and mutant protein structure of FLT3 protein by computational methods

Saleena Younus, Özge Tatlı, Ahmad Nasimian…·Lars Rönnstrand

This study uses computational methods to analyze the structural behavior of FLT3 protein mutants in AML, identifying key structural changes and their implications for therapeutic targeting.

1 citation

humanprotein structure

BioinformaticsbioRxivPreprintJun 20, 2023

A Clear, Legible, Explainable, Transparent, and Elucidative (CLETE) Binary Classification Platform for Tabular Data

Ahmad Nasimian, Saleena Younus, Özge Tatlı…·Julhash Uddin Kazi

The paper introduces a CLETE binary classification platform for tabular data that offers explainable, transparent, and modifiable machine learning models with various feature selection, sampling, and evaluation methods.

2 citations

machine learning (classical)benchmarking