Tag: BioData Mining

Temporal sequence mining of linked claims and mortality data from 3.6 million Maryland residents identified 1,816 ordered diagnostic trajectories significantly ...

A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...

A new open-access framework called scCIF adaptively fuses single-cell multi-omics data and outperformed competing methods on eight public datasets.

A new deconvolution framework called ESMF uses single-cell reference data, negative binomial noise modeling and dual-validated marker selection to estimate ...