Results 201 to 210 of about 10,963 (248)

iPRSue: Unbiased individual-level uncertainty estimation in polygenic risk scores

Jayasinghe D, Zang Q, Beckmann K, Benyamin B, Lee SH.   +4 more
europepmc   +1 more source

Seasonal Dynamics of Benthic Macroinvertebrate Community Assembly in a Subtropical Monsoon-Driven Mountain Stream. [PDF]

Ecol Evol
Ge Y, Xue Y, Chen K, Gan Z, Xu K, Zhao C, Zhang Y, Yan Y.   +7 more
europepmc   +1 more source

Enhancing polygenic risk prediction by modeling quantile-specific genetic effects. [PDF]

Sci Rep
Kim S, Goo T, Park T, Park M.
europepmc   +1 more source

Unveiling Novel Traits Associated with Ulcerative Colitis via Phenome-Wide Associations Enhanced by Polygenic Risk Statistics. [PDF]

Genes (Basel)
Wu Y, Liu L, Kars ME, Li R, Li M, Itan Y.   +5 more
europepmc   +1 more source

Carbonsulfan-induced physiological, histopathological, and ultrastructural alterations in tubifex tubifex (müller, 1774). [PDF]

Sci Rep
Mandal AH, Sadhu A, Ghosh S, Saha NC, Saha S.   +4 more
europepmc   +1 more source

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Global mapping of foliage clumping index using multi-angular satellite data

Remote Sensing of Environment, 2005
Global mapping of the vegetation clumping index is attempted for the first time using multi-angular POLDER 1 data based on a methodology that has been demonstrated to be applicable to Canada’s landmass. The clumping index quantified the level of foliage grouping within distinct canopy structures, such as tree crowns, shrubs, and row crops, relative to ...
S G Leblanc
exaly   +2 more sources

Global clumping index map derived from the MODIS BRDF product

Remote Sensing of Environment, 2012
Abstract Clumping index (CI), quantifying the level of foliage grouping within distinct canopy structures relative to a random distribution, is a key structural parameter of plant canopies and very useful in ecological and meteorological models.
Jing Chen, Crystal Schaaf, Jan Pisek
exaly   +2 more sources

Research on the Directional Dependence of the Sampling Scale of Canopy Clumping Index

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Clumping index (CI) characterizes the clumping degree of vegetation canopy foliage relative to the random distribution, which is an important vegetation structure parameter. Digital Hemispherical Photography (DHP) is widely used in ground CI measurement and one of the key steps using this method is to determine the sampling resolution.
Yidong Tong, Ziti Jiao, Lei Cui 0002, Siyang Yin, Xiaoning Zhang 0001, Jing Guo 0006, Rui Xie 0001, Zidong Zhu, Sijie Li   +8 more
openaire   +1 more source

Retrieving Canopy Clumping Index from Terrestrial Laser Scanning Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The information about tree canopy structure is crucial for better understanding the process of radiation propagation. Clumping index (CI) describes the nonrandom distribution of foliage in canopy. Terrestrial laser scanning (TLS) has great advantages in obtaining high spatial resolution point cloud.
Yifan Xu 0017, Sen Li, Shihua Li 0002
openaire   +1 more source