Niya Wang

Unsupervised Signal Deconvolution for Multiscale Characterization of Tissue Heterogeneity

Niya Wang, 2015 .

Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics

P. Choyke, Ge Wang, E. Hillman, 2013, PloS one.

Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues

E. Hoffman, R. Clarke, D. Herrington, 2016, Scientific Reports.

BACOM2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor

I. Shih, D. Levine, R. Clarke, 2013, Scientific Reports.

Mathematical modelling of molecular heterogeneity identifies novel markers and subpopulations in complex tumors

R. Clarke, Lulu Chen, Yue Wang, 2018, bioRxiv.

Unsupervised deconvolution of molecular heterogeneity uncovers novel signatures and glia-neuron ratio

R. Clarke, D. Herrington, Lulu Chen, 2018, bioRxiv.

A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data

Yue Wang, Niya Wang, Guoqiang Yu, 2013, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples

Robert Clarke, Zhen Zhang, Niya Wang, 2015, Bioinform..

Mathematical Modeling and Deconvolution of Molecular Heterogeneity Identifies Novel Subpopulations in Complex Tissues.

Niya Wang, Yue Wang, Lulu Chen, 2018, Methods in molecular biology.

A feasible roadmap for unsupervised deconvolution of two-source mixed gene expressions

Zhen Zhang, Robert Clarke, David M. Herrington, 2013, 1310.7033.