Author
Russian Academy of SciencesORCID 0000-0003-4967-9037Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Mark V. Ivanov, Leyla A. Garibova, Daria D. Emekeeva…·Mikhail V. Gorshkov
The paper introduces msallsearchpy, a search engine for high-flow quantitative LC-MS proteomics, showing improved identification and quantification performance over existing methods.
Mark V. Ivanov, Anna S. Kopeykina, Elizaveta M. Kazakova…·Mikhail V. Gorshkov
The paper introduces a modified decision tree model for proteomic data analysis, improving generalization across Alzheimer's disease datasets and identifying ferroptosis-related proteins as important in dementia resistance.
Valeriy I. Postoenko, Leyla A. Garibova, Lev I. Levitsky…·Mark V. Ivanov
IQMMA improves protein quantitation in DDA proteomics by integrating multiple feature detection algorithms to extract more accurate MS1 intensities.