Author

Matea Gjika

Massachusetts Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alkiviadis Mertzios· 1 shared Angela M. BelcheriD· 1 shared Georgia PerakisiD· 1 shared Neelkanth Manoj BardhaniD· 1 shared Samayita GuhaiD· 1 shared Subodha KumariD· 1 shared Xidan Xu· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Alkiviadis Mertzios

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1 paper

Recent·Most cited

Optimal Prescriptive Treatments for Ovarian Cancer with Genetic Data

Alkiviadis Mertzios, Matea Gjika, Xidan Xu, Samayita Guha, Neelkanth Manoj Bardhan, Subodha Kumar, Angela M. Belcher, Georgia Perakis

This paper develops ML models that use genetic data to prescribe optimal treatments for ovarian cancer, showing improved accuracy and different treatment choices when genetic features are included.

bioRxiv · Oct 8, 2024 · PreprintCancer Biology