The behaviour of random forest permutation-based variable importance measures under predictor correlation von Nicodemus, Kristin K, Malley, James D, Strobl, Carolin, Ziegler, Andreas

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The Clinical Phenotypes of the Juvenile Idiopathic Inflammatory Myopathies von Shah, Mona, Mamyrova, Gulnara, Targoff, Ira N., Huber, Adam M., Malley, James D., Rice, Madeline Murguia, Miller, Frederick W., Rider, Lisa G.

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Detecting gene-gene interactions using a permutation-based random forest method von Li, Jing, Malley, James D, Andrew, Angeline S, Karagas, Margaret R, Moore, Jason H

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Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience von Dasgupta, Abhijit, Sun, Yan V., König, Inke R., Bailey-Wilson, Joan E., Malley, James D.

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What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics von Musolf, Anthony M., Holzinger, Emily R., Malley, James D., Bailey-Wilson, Joan E.

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Predictor correlation impacts machine learning algorithms: implications for genomic studies von Nicodemus, Kristin K., Malley, James D.

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Global analysis of X-chromosome dosage compensation von Gupta, Vaijayanti, Parisi, Michael, Sturgill, David, Nuttall, Rachel, Doctolero, Michael, Dudko, Olga K, Malley, James D, Eastman, P Scott, Oliver, Brian

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Joint Distributions and Quantum Nonlocal Models von Malley, James D, Fletcher, Anthony

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COBRA: A combined regression strategy von Biau, Gérard, Fischer, Aurélie, Guedj, Benjamin, Malley, James D.

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Comparative validation of the D. melanogaster modENCODE transcriptome annotation von Chen, Zhen-Xia, Sturgill, David, Qu, Jiaxin, Jiang, Huaiyang, Park, Soo, Boley, Nathan, Suzuki, Ana Maria, Fletcher, Anthony R, Plachetzki, David C, FitzGerald, Peter C, Artieri, Carlo G, Atallah, Joel, Barmina, Olga, Brown, James B, Blankenburg, Kerstin P, Clough, Emily, Dasgupta, Abhijit, Gubbala, Sai, Han, Yi, Jayaseelan, Joy C, Kalra, Divya, Kim, Yoo-Ah, Kovar, Christie L, Lee, Sandra L, Li, Mingmei, Malley, James D, Malone, John H, Mathew, Tittu, Mattiuzzo, Nicolas R, Munidasa, Mala, Muzny, Donna M, Ongeri, Fiona, Perales, Lora, Przytycka, Teresa M, Pu, Ling-Ling, Robinson, Garrett, Thornton, Rebecca L, Saada, Nehad, Scherer, Steven E, Smith, Harold E, Vinson, Charles, Warner, Crystal B, Worley, Kim C, Wu, Yuan-Qing, Zou, Xiaoyan, Cherbas, Peter, Kellis, Manolis, Eisen, Michael B, Piano, Fabio, Kionte, Karin, Fitch, David H, Sternberg, Paul W, Cutter, Asher D, Duff, Michael O, Hoskins, Roger A, Graveley, Brenton R, Gibbs, Richard A, Bickel, Peter J, Kopp, Artyom, Carninci, Piero, Celniker, Susan E, Oliver, Brian, Richards, Stephen

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Classical Probability and Quantum Outcomes von Malley, James D

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Synthetic learning machines von Ishwaran, Hemant, Malley, James D

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POVMs and the Two Theorems of Naimark and Sz.-Nagy von Malley, James D, Fletcher, Anthony R

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A simplified basis for Bell–Kochen–Specker theorems von Malley, James D., Fine, Arthur

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Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory von Kruppa, Jochen, Liu, Yufeng, Biau, Gérard, Kohler, Michael, König, Inke R., Malley, James D., Ziegler, Andreas

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SCORHE: A novel and practical approach to video monitoring of laboratory mice housed in vivarium cage racks von Salem, Ghadi H., Dennis, John U., Krynitsky, Jonathan, Garmendia-Cedillos, Marcial, Swaroop, Kanchan, Malley, James D., Pajevic, Sinisa, Abuhatzira, Liron, Bustin, Michael, Gillet, Jean-Pierre, Gottesman, Michael M., Mitchell, James B., Pohida, Thomas J.

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r2VIM: A new variable selection method for random forests in genome-wide association studies von Szymczak, Silke, Holzinger, Emily, Dasgupta, Abhijit, Malley, James D, Molloy, Anne M, Mills, James L, Brody, Lawrence C, Stambolian, Dwight, Bailey-Wilson, Joan E

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New genes involved in cancer identified by retroviral tagging von Suzuki, Takeshi, Shen, Haifa, Akagi, Keiko, Morse, Herbert C, Malley, James D, Naiman, Daniel Q, Jenkins, Nancy A, Copeland, Neal G

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Clinical and immunogenetic prognostic factors for radiographic severity in ankylosing spondylitis von Ward, Michael M., Hendrey, Matthew R., Malley, James D., Learch, Thomas J., Davis, John C., Reveille, John D., Weisman, Michael H.

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Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets von Jerebko, Anna K, Malley, James D, Franaszek, Marek, Summers, Ronald M

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