Newton, Michael A.

Karyotypic abnormalities in human induced pluripotent stem cells and embryonic stem cells

Taapken, S. M., Nisler, B. S., Newton, M. A., Sampsell-Barron, T. L., Leonhard, K. A., McIntire, E. M., & Montgomery, K. D. (2011) · Nature Biotechnology

Pluripotent Stem Cells ResearchGenomic variations and chromosomal abnormalities

Cited by 327

SCnorm: robust normalization of single-cell RNA-seq data

Bacher, R., Chu, L.-F., Leng, N., Gasch, A. P., Thomson, J. A., Stewart, R. M., Newton, M., & Kendziorski, C. (2017) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 282

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Korthauer, K. D., Chu, L.-F., Newton, M. A., Li, Y., Thomson, J., Stewart, R., & Kendziorski, C. (2016) · Genome Biology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 273

Machine learning consensus scoring improves performance across targets in structure-based virtual screening.

Ericksen, S. S., Wu, H., Zhang, H., Michael, L. A., Newton, M. A., Hoffmann, F. M., & Wildman, S. A. (2017) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 107

Monoallelic silencing and haploinsufficiency in early murine intestinal neoplasms

Amos-Landgraf, J. M., Irving, A. A., Hartman, C., Hunter, A., Laube, B., Chen, X., Clipson, L., Newton, M. A., & Dove, W. F. (2012) · Proceedings of the National Academy of Sciences

Genetic factors in colorectal cancerEpigenetics and DNA Methylation

Cited by 16