Author

M. Postl

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. C. Marques· 1 shared A. Janiszewski· 1 shared A. Saitta· 1 shared A. Willig· 1 shared C. Chong· 1 shared C. Grimm· 1 shared C. Pozzorini· 1 shared E. Smith· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. C. Marques

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1 paper

Recent·Most cited

A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles

G. Andre, T. Coletta, C. Pozzorini, A. C. Marques, J. Bieler, R. Kempfer, C. Chong, A. Saitta, E. Smith, M. Macheret, A. Janiszewski, X. Bonilla, J. Bonet, H. Santos-Silva, M. Postl, , Z. Xu

This paper introduces a deep learning model to detect homologous recombination deficiency from shallow whole genome sequencing data, achieving high accuracy comparable to deeper sequencing methods.

bioRxiv · Jul 6, 2022 · PreprintCancer Biology