3 papers
q-bio.GN2026
CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data
Fenosoa Randrianjatovo, Maya Saleh, Simon Girard +1
Omics datasets, particularly single-cell RNA sequencing data, are high-dimensional, sparse, noisy, and dominated by zero values, making faithful low-dimensional representation chal…
stat.ME2025
AdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors
Maimouna Baldé, Abdoul O. Diakité, Claudia Moreau +6
Multimodal high-dimensional data are increasingly prevalent in biomedical research, yet they are often compromised by block-wise missingness and measurement errors, posing signific…
stat.ME2021
An algorithm-based multiple detection influence measure for high dimensional regression using expectile
Amadou Barry, Nikhil Bhagwat, Bratislav Misic +2
The identification of influential observations is an important part of data analysis that can prevent erroneous conclusions drawn from biased estimators. However, in high dimension…