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Selection: Yu:B [3 articles] 

Publications by author Yu:B.
 

Iterative random forests to discover predictive and stable high-order interactions

  
Proceedings of the National Academy of Sciences, Vol. 115, No. 8. (20 February 2018), pp. 1943-1948, https://doi.org/10.1073/pnas.1711236115

Abstract

[Significance] We developed a predictive, stable, and interpretable tool: the iterative random forest algorithm (iRF). iRF discovers high-order interactions among biomolecules with the same order of computational cost as random forests. We demonstrate the efficacy of iRF by finding known and promising interactions among biomolecules, of up to fifth and sixth order, in two data examples in transcriptional regulation and alternative splicing. [Abstract] Genomics has revolutionized biology, enabling the interrogation of whole transcriptomes, genome-wide binding sites for proteins, and many other molecular processes. However, ...

 

A comparative study of rainfall erosivity estimation for southern Italy and southeastern Australia

  
Hydrological Sciences Journal, Vol. 44, No. 1. (1 February 1999), pp. 3-24, https://doi.org/10.1080/02626669909492199

Abstract

Abstract In this paper, using Sicilian and Australian rainfall intensity data, a comparison between different estimators (modified Fournier index F, FF index) of the rainfall erosivity factor in the USLE was made. The relationship between the modified Fournier index and the mean annual rainfall, P, was theoretically derived. The K constant, linking the FF index and P, and its cumulative distribution function (CDF) were used to establish hydrological similitude among different geographical regions of southern Italy and southeastern Australia. To predict ...

 

Soil erodibility and its estimation for agricultural soils in China

  
Journal of Arid Environments, Vol. 72, No. 6. (June 2008), pp. 1002-1011, https://doi.org/10.1016/j.jaridenv.2007.11.018

Abstract

Soil erodibility (the K factor in the Universal Soil Loss Equation, USLE) is an important index to measure soil susceptibility to water erosion, and an essential parameter needed for soil erosion prediction. To evaluate the appropriateness of the nomograph and other methods for estimating the K factor for the USLE and to develop a relationship for soil erodibility estimation for Chinese soils, a set of soil erodibility values was calculated using soil loss data from natural runoff plots at 13 sites ...

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