Standardized and accessible multi-omics bioinformatics workflows through the NMDC EDGE resource
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59 BASIC BIOLOGICAL SCIENCES↗
Engineering topics
Lo, Chien-Chi
Publications and source records attributed to Lo, Chien-Chi.
DISSIDE: Dynamic In Silico Sample Identification for Discrete Evaluation
DISSIDE uses novel unsupervised learning to select samples that best represent the strongest a priori discrete pattern in a given data set. It further removes major outliers and "noisy" samples that do not fit discrete patterns well or represent outliers in groups below a defined n value. It then estimates the fit and strength of the a priori discrete pattern using both unconstrained and constrained methods for raw and cleaned data
LeBrun, Erick↗