User profiles for K. R. Moon
Kevin R. MoonUtah State University Verified email at usu.edu Cited by 3436 |
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
Recent advances in single-cell RNA sequencing technologies enable deep insights into
cellular development, gene regulation, and phenotypic diversity by measuring gene expression …
cellular development, gene regulation, and phenotypic diversity by measuring gene expression …
[PDF][PDF] Recovering gene interactions from single-cell data using data diffusion
Single-cell RNA sequencing technologies suffer from many sources of technical noise,
including under-sampling of mRNA molecules, often termed "dropout," which can severely …
including under-sampling of mRNA molecules, often termed "dropout," which can severely …
Visualizing structure and transitions in high-dimensional biological data
The high-dimensional data created by high-throughput technologies require visualization
tools that reveal data structure and patterns in an intuitive form. We present PHATE, a …
tools that reveal data structure and patterns in an intuitive form. We present PHATE, a …
[BOOK][B] Yellowface: creating the Chinese in American popular music and performance, 1850s-1920s
KR Moon - 2005 - books.google.com
… Moon explores the contributions of writers, performers, producers, and consumers in order …
Moon shows how these performers carefully navigated between racist attitudes and their own …
Moon shows how these performers carefully navigated between racist attitudes and their own …
Exploring single-cell data with deep multitasking neural networks
It is currently challenging to analyze single-cell data consisting of many cells and samples,
and to address variations arising from batch effects and different sample preparations. For …
and to address variations arising from batch effects and different sample preparations. For …
MAGIC: A diffusion-based imputation method reveals gene-gene interactions in single-cell RNA-sequencing data
Single-cell RNA-sequencing is fast becoming a major technology that is revolutionizing
biological discovery in fields such as development, immunology and cancer. The ability to …
biological discovery in fields such as development, immunology and cancer. The ability to …
[HTML][HTML] Genetic alterations in primary acral melanoma and acral melanocytic nevus in Korea: common mutated genes show distinct cytomorphological features
KR Moon, YD Choi, JM Kim, S Jin, MH Shin… - Journal of Investigative …, 2018 - Elsevier
Acral melanoma occurring on the palms, soles, and nails is the most common subtype of
cutaneous melanoma in Asians. Genetic alterations in acral melanoma and acral melanocytic …
cutaneous melanoma in Asians. Genetic alterations in acral melanoma and acral melanocytic …
Structural and developmental principles of neuropil assembly in C. elegans
Neuropil is a fundamental form of tissue organization within the brain 1 , in which densely
packed neurons synaptically interconnect into precise circuit architecture 2 , 3 . However, the …
packed neurons synaptically interconnect into precise circuit architecture 2 , 3 . However, the …
Ensemble estimation of multivariate f-divergence
f-divergence estimation is an important problem in the fields of information theory, machine
learning, and statistics. While several divergence estimators exist, relatively few of their …
learning, and statistics. While several divergence estimators exist, relatively few of their …
Geometry-and accuracy-preserving random forest proximities
… Wolf, and KR Moon, “Visualizing high dimensional dynamical processes,” in MLSP, 2019.
[… Moon, “Extendable and invertible manifold learning with geometry regularized autoencoders,” …
[… Moon, “Extendable and invertible manifold learning with geometry regularized autoencoders,” …