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20162025
most citedA robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery

4 citations · 7 across the 5 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

stat.ML2016

Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis

Md ashad Alam, Osamu Komori, Yu-Ping Wang

In genome-wide interaction studies, to detect gene-gene interactions, most methods are divided into two folds: single nucleotide polymorphisms (SNP) based and gene-based methods. B…

stat.ML2016

Robust Kernel (Cross-) Covariance Operators in Reproducing Kernel Hilbert Space toward Kernel Methods

Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang

To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the unsupervised methods explicitly or implicitly depe…