Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Melissa R McGuirl"'
Publikováno v:
Genetics
McGuirl et al. present a new method, Ward clustering to identify Internal Node branch length outliers using Gene Scores (WINGS), for identifying shared genetic architecture among multiple phenotypes. Past research...
Emerging large-scale biobank
Emerging large-scale biobank
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49f81c73721c5c5ec9112defe06e56f
https://doi.org/10.1534/genetics.120.303096
https://doi.org/10.1534/genetics.120.303096
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance While pattern formation has been studied extensively using experiments and mathematical models, methods for quantifying self-organization are limited to manual inspection or global measures in many applications. Our work introduces a met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604068a2aa819330b3baefb6fd93ad92
http://europepmc.org/articles/PMC7071871
http://europepmc.org/articles/PMC7071871
Publikováno v:
Genetics. 220
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9e6cde774c099b02d186a4c976aeed8
https://doi.org/10.1093/genetics/iyab194
https://doi.org/10.1093/genetics/iyab194
Accurate and flexible representations of music data are paramount to addressing MIR tasks, yet many of the existing approaches are difficult to interpret or rigid in nature. This work introduces two new song representations for structure-based retrie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7af129649f86f9e45d0ffe8ccc8da5d8
Autor:
Melissa R. McGuirl, David B. Damiano
Publikováno v:
Journal of Mathematical Biology
Single-photon emission computed tomography images of murine tumors are interpreted as the values of functions on a three-dimensional domain. Motivated by Morse theory, the local maxima of the tumor image functions are analyzed. This analysis captures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff221b1e225e484dd020192cb07bf390
https://doi.org/10.1007/s00285-017-1184-8
https://doi.org/10.1007/s00285-017-1184-8
Autor:
Jenna L. Palmer, Björn Sandstede, Courtney Cochrane, Paul A. Carter, Patrick J. Murphy, Joseph DeGuire, Gaoyang Fan, Melissa R. McGuirl, Emma Holmes, Chao Xia, Laura C. Slivinski
Publikováno v:
Physica D: Nonlinear Phenomena. 346:59-72
Data assimilation of traffic flow remains a challenging problem. One difficulty is that data come from different sources ranging from stationary sensors and camera data to GPS and cell phone data from moving cars. Sensors and cameras give information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93cae304e44cd1f115e2f6caa7757d6
https://doi.org/10.1016/j.physd.2017.02.004
https://doi.org/10.1016/j.physd.2017.02.004
Genome-wide association (GWA) studies have generally focused on a single phenotype of interest. Emerging biobanks that pair genotype data from thousands of individuals with phenotype data using medical records or surveys enable testing for genetic as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c1ba908f1dda61f377184b7a7fd680
https://doi.org/10.1101/565903
https://doi.org/10.1101/565903
to interpret. The matrix-based representations commonly used in MIR tasks are often difficult This work introduces start-end (SE) diagrams and start(normalized)length (SNL) diagrams, two novel structure-based representations for sequential music data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50b06e7d77a83636646c0f115897b5e
Publikováno v:
Genetics. 211(4)
Accurate estimation of recombination rates is critical for studying the origins and maintenance of genetic diversity. Because the inference of recombination rates under a full evolutionary model is computationally expensive, an alternative approach u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a2026bc2417560d3fab0fbd83cdc23
https://pubmed.ncbi.nlm.nih.gov/35100393
https://pubmed.ncbi.nlm.nih.gov/35100393