Samir Rachid Zaim

According to our database, Samir Rachid Zaim authored at least 9 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Interpretable and Robust Machine Learning for Precision Medicine.

Samir Rachid Zaim

PhD thesis, 2021

'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases.

Dillon Aberasturi, Nima Pouladi, Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Walter W. Piegorsch, Yves A. Lussier

Bioinform., 2021

2020

Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data.

Ahyoung Amy Kim, Samir Rachid Zaim, Vignesh Subbian

Int. J. Medical Informatics, 2020

Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.

Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Wesley Chiu, Liam Wilson, Hao Helen Zhang, Yves A. Lussier

BMC Bioinform., 2020

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.

Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Wesley Chiu, Liam Wilson, Hao Helen Zhang, Yves A. Lussier

BMC Bioinform., 2020

2019

DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare.

Samir Rachid Zaim, Ahyoung Amy Kim, Colleen Kenost, Helen Zhang, Yves A. Lussier, Vignesh Subbian

Proceedings of the AMIA 2019, 2019

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.

Qike Li, Samir Rachid Zaim, Dillon Aberasturi, Joanne Berghout, Haiquan Li, Francesca Vitali, Colleen Kenost, Hao Helen Zhang, Yves A. Lussier

Proceedings of the AMIA 2019, 2019

2018

Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses.

Samir Rachid Zaim, Qike Li, A. Grant Schissler, Yves A. Lussier

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Systems of Phenome-Exposome Associations Unveiled by Mining Practice-Based Evidence with Environmental Exposures.

Jung-wei Fan, Samir Rachid Zaim, Walter W. Piegorsch, Jianrong Li, Colleen Kenost, Yves A. Lussier

Proceedings of the AMIA 2018, 2018