Author

R. Albero

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

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Cancer Biology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. A. Ferrando· 1 shared C. Reglero· 1 shared F. Forouhar· 1 shared H. Khiabanian· 1 shared J. W. Loh· 1 shared M. Al Quraishi· 1 shared R. Rabadan· 1 shared V. Swamy· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. A. Ferrando

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1 paper

Recent·Most cited

Computational structure prediction methods enable the systematic identification of oncogenic mutations

X. Fu, C. Reglero, V. Swamy, J. W. Loh, H. Khiabanian, R. Albero, F. Forouhar, M. Al Quraishi, A. A. Ferrando, R. Rabadan

This paper introduces a computational method to identify oncogenic mutations by integrating evolutionary information and protein structure prediction, demonstrating its effectiveness in pediatric leukemias.

bioRxiv · Nov 18, 2022 · PreprintCancer Biology