Author

M. Lapierre

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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Evolutionary Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

A. Lambert· 2 shared G. Achaz· 2 shared A. Castet-Nicolas· 1 shared A. Maraver· 1 shared C. Teyssier· 1 shared E. Bousquet· 1 shared E. Kerdoncuff· 1 shared F. Bernex· 1 shared

Activity by Year

2016-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

A. Lambert

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

RIP140 regulates HES1 oscillatory expression and mitogenic activity in colon cancer cells

N. Sfeir, M. Kajdan, S. Jalaguier, S. Bonnet, C. Teyssier, S. Pyrdziak, R. Yuan, E. Bousquet, A. Maraver, F. Bernex, N. Pirot, F. Boissiere, A. Castet-Nicolas, M. Lapierre, V. Cavailles

This study shows RIP140 regulates HES1 expression and mitogenic activity in colon cancer cells, with implications for patient survival.

bioRxiv · May 13, 2023 · PreprintCancer Biology

Interpreting the pervasive observation of U-shaped Site Frequency Spectra

F. Freund, E. Kerdoncuff, S. Matuszewski, M. Lapierre, M. Hildebrandt, J. D. Jensen, L. Ferretti, A. Lambert, T. B. Sackton, G. Achaz

The paper analyzes site frequency spectra across species and finds U-shaped patterns, suggesting that multiple merger coalescent models better fit the data than the standard neutral model.

bioRxiv · Apr 12, 2022 · PreprintEvolutionary Biology

Accuracy of demographic inferences from Site Frequency Spectrum: The case of the Yoruba population

M. Lapierre, A. Lambert, G. Achaz

The paper assesses the accuracy of demographic inferences from the Site Frequency Spectrum (SFS) in the Yoruba population, finding that simple models outperform flexible ones.

bioRxiv · Sep 30, 2016Evolutionary Biology