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researcher

L. Briollais

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedThe scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

stat.ML2020★ 1 cited

The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration

Nanwei Wang, Laurent Briollais, Helene Massam

Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprec…

stat.AP2020

A Bayes Factor Approach with Informative Prior for Rare Genetic Variant Analysis from Next Generation Sequencing Data

Jingxiong Xu, Wei Xu, Laurent Briollais

The discovery of rare genetic variants through Next Generation Sequencing is a very challenging issue in the field of human genetics. We propose a novel region-based statistical ap…

stat.ME2020

A Competing Risks Model with Binary Time Varying Covariates for Estimation of Breast Cancer Risks in BRCA1 Families

Yun-Hee Choi, Hae Jung, Saundra Buys +6

Mammographic screening and prophylactic surgery such as risk-reducing salpingo oophorectomy (RRSO) can potentially reduce breast cancer risks among mutation carriers of BRCA famili…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.