The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory von Hellton, Kristoffer Herland, Cummings, Jeffrey, Vik-Mo, Audun Osland, Nordrehaug, Jan Erik, Aarsland, Dag, Selbæk, Geir, Melvær, Giil Lasse

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Serum Potassium Is Associated with Cognitive Decline in Patients with Lewy Body Dementia von Giil, LM, Solvang, S-EH, Giil, MM, Hellton, KH, Skogseth, RE, Vik-Mo, AO, Hortobagyi, T, Aarsland, D, Nordrehaug, JE

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Penalized angular regression for personalized predictions von Hellton, Kristoffer H.

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Tuning parameter calibration for personalized prediction in medicine von Huang, Shih-Ting, Düren, Yannick, Hellton, Kristoffer H., Lederer, Johannes

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Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network von Padil, Khairul H., Bakhary, Norhisham, Abdulkareem, Muyideen, Li, Jun, Hao, Hong

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The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models von Rozowsky, Joel, Gao, Jiahao, Borsari, Beatrice, Yang, Yucheng T., Galeev, Timur, Gürsoy, Gamze, Epstein, Charles B., Xiong, Kun, Xu, Jinrui, Li, Tianxiao, Liu, Jason, Yu, Keyang, Berthel, Ana, Chen, Zhanlin, Navarro, Fabio, Sun, Maxwell S., Wright, James, Chang, Justin, Cameron, Christopher J.F., Shoresh, Noam, Gaskell, Elizabeth, Drenkow, Jorg, Adrian, Jessika, Aganezov, Sergey, Aguet, François, Balderrama-Gutierrez, Gabriela, Banskota, Samridhi, Corona, Guillermo Barreto, Chhetri, Surya B., Cortez Martins, Gabriel Conte, Danyko, Cassidy, Davis, Carrie A., Farid, Daniel, Farrell, Nina P., Gabdank, Idan, Gofin, Yoel, Gorkin, David U., Gu, Mengting, Hecht, Vivian, Hitz, Benjamin C., Jiang, Yunzhe, Kirsche, Melanie, Kong, Xiangmeng, Lam, Bonita R., Li, Shantao, Li, Bian, Li, Xiqi, Luo, Ruibang, Mackiewicz, Mark, Meng, Ran, Moore, Jill E., Mudge, Jonathan, Nelson, Nicholas, Nusbaum, Chad, Popov, Ioann, Pratt, Henry E., Qiu, Yunjiang, Ramakrishnan, Srividya, Raymond, Joe, Salichos, Leonidas, Scavelli, Alexandra, Schreiber, Jacob M., Sedlazeck, Fritz J., See, Lei Hoon, Sherman, Rachel M., Shi, Xu, Shi, Minyi, Sloan, Cricket Alicia, Strattan, J Seth, Tan, Zhen, Tanaka, Forrest Y., Vlasova, Anna, Wang, Jun, Werner, Jonathan, Williams, Brian, Xu, Min, Yan, Chengfei, Yu, Lu, Zaleski, Christopher, Zhang, Jing, Ardlie, Kristin, Cherry, J Michael, Mendenhall, Eric M., Noble, William S., Weng, Zhiping, Levine, Morgan E., Dobin, Alexander, Wold, Barbara, Mortazavi, Ali, Ren, Bing, Gillis, Jesse, Myers, Richard M., Snyder, Michael P., Choudhary, Jyoti, Milosavljevic, Aleksandar, Schatz, Michael C., Bernstein, Bradley E., Guigó, Roderic, Gingeras, Thomas R., Gerstein, Mark

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Low-Rank Joint Subspace Construction for Cancer Subtype Discovery von Khan, Aparajita, Maji, Pradipta

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Common variable immunodeficiency revisited: normal generation of naturally occurring dendritic cells that respond to Toll‐like receptors 7 and 9 von Taraldsrud, E., Fevang, B., Aukrust, P., Beiske, K. H., Fløisand, Y., Frøland, S., Rollag, H., Olweus, J.

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Development of machine learning model for diagnostic disease prediction based on laboratory tests von Park, Dong Jin, Park, Min Woo, Lee, Homin, Kim, Young-Jin, Kim, Yeongsic, Park, Young Hoon

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Brain age prediction: Cortical and subcortical shape covariation in the developing human brain von Zhao, Yihong, Klein, Arno, Castellanos, F. Xavier, Milham, Michael P.

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R.JIVE for exploration of multi-source molecular data von O'Connell, Michael J, Lock, Eric F

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Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer von Ponzi, Erica, Thoresen, Magne, Haugdahl Nast, Therese, Mallersen, Kajsa

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Neuropsychiatric and Cognitive Symptoms Across the Alzheimer Disease Clinical Spectrum: Cross-sectional and Longitudinal Associations von Eikelboom, Willem S., van den Berg, Esther, Singleton, Ellen H., Baart, Sara J., Coesmans, Michiel, Leeuwis, Annebet E., Teunissen, Charlotte E., van Berckel, Bart N.M., Pijnenburg, Yolande A.L., Scheltens, Philip, van der Flier, Wiesje M., Ossenkoppele, Rik, Papma, Janne M.

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Auto-tune learning framework for prediction of flowability, mechanical properties, and porosity of ultra-high-performance concrete (UHPC) von Mahjoubi, Soroush, Meng, Weina, Bao, Yi

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A novel method for ship carbon emissions prediction under the influence of emergency events von Feng, Yinwei, Wang, Xinjian, Luan, Jianlin, Wang, Hua, Li, Haijiang, Li, Huanhuan, Liu, Zhengjiang, Yang, Zaili

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Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings von Nakayama, Yugo, Yata, Kazuyoshi, Aoshima, Makoto

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A survey of high dimension low sample size asymptotics von Aoshima, Makoto, Shen, Dan, Shen, Haipeng, Yata, Kazuyoshi, Zhou, Yi‐Hui, Marron, J. S.

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Application of a Machine Learning Algorithm in Prediction of Abusive Head Trauma in Children von Jadhav, Priyanka, Sears, Timothy, Floan, Gretchen, Joskowitz, Katie, Nienow, Shalon, Cruz, Sheena, David, Maya, de Cos, Víctor, Choi, Pam, Ignacio, Romeo C.

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Ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics for rapid discrimination of Angelicae Sinensis Radix from its four similar herbs von Bian, Xihui, Lu, Zhankui, van Kollenburg, Geert

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Socioeconomic status and the effectiveness of treatment for first‐episode psychosis von Bennett, Daniel, Rosenheck, Robert

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