Stephan Morgenthaler

Biography

ACADEMIC POSITIONS

Professor of Applied Statistics, EPFL, 1988-present

Associate Professor of Statistics, Yale University, 1987-1988

Assistant Professor of Statistics, Yale University, 1983-1987

Instructor of Mathematics, Massachusetts Institute of Technology, 1983-1984

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A comprehensive error rate for multiple testing

Djalel Eddine Meskaldji, Stephan Morgenthaler, Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville

Over the last two decades, a large variety of type I error rates and control procedures have been proposed in the field of multiple hypotheses testing. This paper proposes a framework that includes many existing proposals by investigating procedures in which the orderedp-values are compared to an arbitrary positive and non-decreasing threshold sequence. For this case, we derive the error rate being controlled under different assumptions on thep-values. Our focus will be on step-up procedures. The new formulation gives insight into the relations between existing error rates and opens new perspectives for the whole field of multiple testing.

SPRINGER2020

Tracing of Human Tumor Cell Lineages by Mitochondrial Mutations

Per Olaf Ekstrom, Stephan Morgenthaler, Paul Refinetti

Background Previous studies have shown the value in studying lineage tracing in slices of human tumors. However, a tumor is not a two-dimensional structure and to better understand how a tumor, and its corresponding metastasis grow, a three-dimensional (3-D) view is necessary. Results Using somatic mitochondrial mutations as a marker for lineage tracing, it is possible to identify and follow tumor specific cell lineages. Using cycling temperature capillary electrophoresis (CTCE) a total of 8 tissues from 5 patients (4 primary tumors and 4 metastasis) containing clear mitochondrial markers of tumor lineages were selected. From these 8 tissues over 9,500 laser capture microdisection (LCM) samples were taken and analyzed, in a way that allows 3-D rendering of the observations. Conclusion Using CTCE combined with LCM makes it possible to study the 3-D patterns formed by tumors and metastasis as they grow. These results clearly show that the majority of the volume occupied by a tumor is not composed of tumor derived cells. These cells are most likely recruited from the neighboring tissue.

FRONTIERS MEDIA SA2020

Analysis of NGS-based blood immune cell RNA signatures for colorectal cancer detection

Paolo Angelino, Sahar Hosseinian Ehrensberger, Helen Lindsay, Stephan Morgenthaler

OXFORD UNIV PRESS2019