Author

Alexander Landry

St. Michael's HospitalORCID 0000-0002-7250-8466Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:electronic health records· 1

Frequent Co-Authors

Michael D. CusimanoiD· 3 shared Zsolt E. ZadoriD· 3 shared Ashirbani Saha· 1 shared Benjamin Haibe‐KainsiD· 1 shared Nophar GeifmaniD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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3 shared papersBioinformatics

Michael D. CusimanoORCID

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3 papers

Recent·Most cited

Meta-gene markers predict meningioma recurrence with high accuracy

Zsolt E. Zador, Alexander Landry, Benjamin Haibe‐Kains, Michael D. Cusimano

The paper identifies a gene co-expression module that accurately predicts meningioma recurrence with an AUC of 0.81.

Scientific Reports · Oct 22, 2020Peer-reviewedBioinformatics

Homogenous subgroups of atypical meningiomas defined using oncogenic signatures: basis for a new grading system?

Zsolt Zador, Alexander Landry, Ashirbani Saha, Michael D. Cusimano

The paper identifies two subgroups of atypical meningiomas using oncogenic signatures, reclassifying 72% of cases as either benign grade 1-like or malignant grade 3-like based on recurrence rates and biological processes.

bioRxiv · Dec 14, 2018 · PreprintCancer Biology

Multimorbidity states with high sepsis-related deaths: a data-driven analysis in critical care

Zsolt E. Zador, Alexander Landry, Michael D. Cusimano, Nophar Geifman

This study identifies multimorbidity subgroups in critical care patients and finds one subgroup has over 2-fold higher sepsis-related mortality.

bioRxiv · Dec 13, 2018 · PreprintBioinformatics