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A reference map of the human binary protein interactome 期刊论文
NATURE, 2020, 580 (7803) : 402-+
作者:  Fan, Chen;  Sukomon, Nattakan;  Flood, Emelie;  Rheinberger, Jan;  Allen, Toby W.;  Nimigean, Crina M.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/03

Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype-phenotype relationships(1,2). Here we present a human '  all-by-all'  reference interactome map of human binary protein interactions, or '  HuRI'  . With approximately 53,000 protein-protein interactions, HuRI has approximately four times as many such interactions as there are high-quality curated interactions from small-scale studies. The integration of HuRI with genome(3), transcriptome(4) and proteome(5) data enables cellular function to be studied within most physiological or pathological cellular contexts. We demonstrate the utility of HuRI in identifying the specific subcellular roles of protein-protein interactions. Inferred tissue-specific networks reveal general principles for the formation of cellular context-specific functions and elucidate potential molecular mechanisms that might underlie tissue-specific phenotypes of Mendelian diseases. HuRI is a systematic proteome-wide reference that links genomic variation to phenotypic outcomes.


  
On the Robustness of Conceptual Rainfall-Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Guo, Danlu;  Zheng, Feifei;  Gupta, Hoshin;  Maier, Holger R.
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
Does Information Theory Provide a New Paradigm for Earth Science? Hypothesis Testing 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Nearing, Grey S.;  Ruddell, Benjamin L.;  Bennett, Andrew R.;  Prieto, Cristina;  Gupta, Hoshin V.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/02
information theory  hypothesis testing  model evaluation  epistemic uncertainty  
Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (1) : 281-301
作者:  Kuai, Le;  Bowman, Kevin W.;  Miyazaki, Kazuyuki;  Deushi, Makoto;  Revell, Laura;  Rozanov, Eugene;  Paulot, Fabien;  Strode, Sarah;  Conley, Andrew;  Lamarque, Jean-Francois;  Joeckel, Patrick;  Plummer, David A.;  Oman, Luke D.;  Worden, Helen;  Kulawik, Susan;  Paynter, David;  Stenke, Andrea;  Kunze, Markus
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/02
Global-Scale Prediction of Flood Timing Using Atmospheric Reanalysis 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Do, Hong Xuan;  Westra, Seth;  Leonard, Michael;  Gudmundsson, Lukas
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 11344-11354
作者:  Kratzert, Frederik;  Klotz, Daniel;  Herrnegger, Mathew;  Sampson, Alden K.;  Hochreiter, Sepp;  Nearing, Grey S.
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/16
prediction in ungauged basins  machine learning  CAMELS  LSTM  
Indian electricity sector, energy security and sustainability: An empirical assessment 期刊论文
ENERGY POLICY, 2019, 135
作者:  Sarangi, Gopal K.;  Mishra, Arabinda;  Chang, Youngho;  Taghizadeh-Hesary, Farhad
收藏  |  浏览/下载:15/0  |  提交时间:2020/02/17
Sustainable development  Energy security  Electricity sector  India  
Simulation of temperature series and small networks from data 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (13) : 5104-5123
作者:  Washington, Benjamin;  Seymour, Lynne;  Lund, Robert;  Willett, Kate
收藏  |  浏览/下载:4/0  |  提交时间:2020/02/17
general circulation model  temperature network  vector autoregression  
An empirical prediction approach for seasonal fire risk in the boreal forests 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Eden, Jonathan M.;  Krikken, Folmer;  Drobyshev, Igor
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/17
empirical modelling  forecasting (methods)  forest fire  seasonal prediction  
Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections 期刊论文
ENERGY POLICY, 2019, 134
作者:  Zurano-Cervello, Patricia;  Pozo, Carlos;  Maria Mateo-Sanz, Josep;  Jimenez, Laureano;  Guillen-Gosalbez, Gonzalo
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/17
Sustainability  Data envelopment analysis (DEA)  Electricity mix  Eco-efficiency  Optimization  Energy systems