output
20132024
most citedMachine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

24 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2022Show all

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cs.IT2022★ 18 cited

On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures

Abicumaran Uthamacumaran, Felipe S. Abrahão, Narsis A. Kiani +1

We demonstrate that the assembly pathway method underlying assembly theory (AT) is an encoding scheme widely used by popular statistical compression algorithms. We show that in all…

q-bio.QM2022★ 24 cited

Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta +5

Patient-derived extracellular vesicles (EVs) that contains a complex biological cargo is a valuable source of liquid biopsy diagnostics to aid in early detection, cancer screening,…