Open Access Policy Deposits
There are 714 publications in this collection, published between 1983 and 2024. Showing 201 - 250.
Hofer, Ira S; Lee, Christine; Gabel, Eilon; Baldi, Pierre; Cannesson, Maxime: Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set, 2020
Ji, Disi; Putzel, Preston; Qian, Yu; Chang, Ivan; Mandava, Aishwarya; Scheuermann, Richard H et al.: Machine Learning of Discriminative Gate Locations for Clinical Diagnosis, 2020
Karcher, Michael D; Carvalho, Luiz Max; Suchard, Marc A; Dudas, Gytis; Minin, Vladimir N: Estimating effective population size changes from preferentially sampled genetic sequences, 2020
Khanna, Dinesh; Spino, Cathie; Johnson, Sindhu; Chung, Lorinda; Whitfield, Michael L; Denton, Christopher P et al.: Abatacept in Early Diffuse Cutaneous Systemic Sclerosis: Results of a Phase II Investigator‐Initiated, Multicenter, Double‐Blind, Randomized, Placebo‐Controlled Trial, 2020
Lan, Shiwei; Holbrook, Andrew; Elias, Gabriel A; Fortin, Norbert J; Ombao, Hernando; Shahbaba, Babak: Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices, 2020
Magee, Andrew F; Höhna, Sebastian; Vasylyeva, Tetyana I; Leaché, Adam D; Minin, Vladimir N: Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts, 2020
Napoli, Debora; Lupori, Leonardo; Mazziotti, Raffaele; Sagona, Giulia; Bagnoli, Sara; Samad, Muntaha et al.: MiR‐29 coordinates age‐dependent plasticity brakes in the adult visual cortex, 2020
Nardo, Lorenzo; Rezzani, Rita; Facchetti, Luca; Favero, Gaia; Franco, Caterina; Abdelhafez, Yasser Gaber et al.: Beneficial Effects of Melatonin on Apolipoprotein-E Knockout Mice by Morphological and 18F-FDG PET/CT Assessments, 2020
Ngo, Michelle N; Pluta, Dustin S; Ngo, Alexander N; Shahbaba, Babak: Conjoined Dirichlet Process, 2020
Noroña-Zhou, Amanda; Morgan, Alyssa; Glynn, Laura; Davis, Elysia; Sandman, Curt; Baram, Tallie Z et al.: Unpredictable maternal behavior is associated with a blunted infant cortisol response., 2020
Noroña‐Zhou, Amanda N; Morgan, Alyssa; Glynn, Laura M; Sandman, Curt A; Baram, Tallie Z; Stern, Hal S et al.: Unpredictable maternal behavior is associated with a blunted infant cortisol response, 2020
Oliver, Andrew; LaMere, Brandon; Weihe, Claudia; Wandro, Stephen; Lindsay, Karen L; Wadhwa, Pathik D et al.: Cervicovaginal Microbiome Composition Is Associated with Metabolic Profiles in Healthy Pregnancy, 2020
Oravecz, Zita; Vandekerckhove, Joachim: A joint process model of consensus and longitudinal dynamics, 2020
Qian, Tianchen; Frangakis, Constantine; Yiannoutsos, Constantin: Deductive Semiparametric Estimation in Double-Sampling Designs with Application to PEPFAR, 2020
Qian, Tianchen; Russell, Michael A; Collins, Linda M; Klasnja, Predrag; Lanza, Stephanie T; Yoo, Hyesun et al.: The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods, 2020
Sy, Michael; Brandt, Alexander U; Lee, Sung-Uk; Newton, Barbara L; Pawling, Judy; Golzar, Autreen et al.: N-acetylglucosamine drives myelination by triggering oligodendrocyte precursor cell differentiation., 2020
Sy, Michael; Brandt, Alexander U; Lee, Sung-Uk; Newton, Barbara L; Pawling, Judy; Golzar, Autreen et al.: N-acetylglucosamine drives myelination by triggering oligodendrocyte precursor cell differentiation, 2020
Thomas, Loring J; Huang, Peng; Yin, Fan; Luo, Xiaoshuang Iris; Almquist, Zack W; Hipp, John R et al.: Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity, 2020
Tognini, Paola; Samad, Muntaha; Kinouchi, Kenichiro; Liu, Yu; Helbling, Jean-Christophe; Moisan, Marie-Pierre et al.: Reshaping circadian metabolism in the suprachiasmatic nucleus and prefrontal cortex by nutritional challenge, 2020
Tonello, Sarah; Bianchetti, Andrea; Braga, Simona; Almici, Camillo; Marini, Mirella; Piovani, Giovanna et al.: Impedance-Based Monitoring of Mesenchymal Stromal Cell Three-Dimensional Proliferation Using Aerosol Jet Printed Sensors: A Tissue Engineering Application, 2020
Umerani, Mehran J; Pratakshya, Preeta; Chatterjee, Atrouli; Sanchez, Juana A Cerna; Kim, Ho Shin; Ilc, Gregor et al.: Structure, self-assembly, and properties of a truncated reflectin variant, 2020
Urban, Gregor; Torrisi, Mirko; Magnan, Christophe N; Pollastri, Gianluca; Baldi, Pierre: Protein profiles: Biases and protocols, 2020
Valvi, Damaskini; Walker, Douglas I; Inge, Thomas; Bartell, Scott M; Jenkins, Todd; Helmrath, Michael et al.: Environmental chemical burden in metabolic tissues and systemic biological pathways in adolescent bariatric surgery patients: A pilot untargeted metabolomic approach, 2020
Vegetabile, Brian G; Gillen, Daniel L; Stern, Hal S: Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects, 2020
Vydiswaran, VG Vinod; Romero, Daniel M; Zhao, Xinyan; Yu, Deahan; Gomez-Lopez, Iris; Lu, Jin Xiu et al.: Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics, 2020
Xie, Hua W; Romero-Olivares, Adriana L; Guindani, Michele; Allison, Steven D: A Bayesian approach to evaluation of soil biogeochemical models, 2020
Xu-Monette, Zijun Y; Zhang, Hongwei; Zhu, Feng; Tzankov, Alexandar; Bhagat, Govind; Visco, Carlo et al.: A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL, 2020
Yu, Yue; Grazioli, Gianmarc; Unhelkar, Megha H; Martin, Rachel W; Butts, Carter T: Network Hamiltonian models reveal pathways to amyloid fibril formation, 2020
Zhu, Yachen; Bartell, Scott M: Per- and polyfluoroalkyl substances in drinking water and birthweight in the US, 2020
Acero, MA; Adamson, P; Aliaga, L; Alion, T; Allakhverdian, V; Altakarli, S et al.: First measurement of neutrino oscillation parameters using neutrinos and antineutrinos by NOvA, 2019
Acero, MA; Adamson, P; Aliaga, L; Alion, T; Allakhverdian, V; Altakarli, S et al.: Observation of seasonal variation of atmospheric multiple-muon events in the NOvA Near Detector, 2019
Baldi, Pierre; Vershynin, Roman: The capacity of feedforward neural networks, 2019
Baldi, Pierre; Vershynin, Roman: Polynomial Threshold Functions, Hyperplane Arrangements, and Random Tensors, 2019
Berchtold, Nicole C; Prieto, G Aleph; Phelan, Michael; Gillen, Daniel L; Baldi, Pierre; Bennett, David A et al.: Hippocampal gene expression patterns linked to late-life physical activity oppose age and AD-related transcriptional decline, 2019
Cannesson, Maxime; Hofer, Ira; Rinehart, Joseph; Lee, Christine; Subramaniam, Kathirvel; Baldi, Pierre et al.: Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study., 2019
Chen, Tian; Li, Lingge; Elias, Gabriel; Fortin, Norbert; Shahbaba, Babak: Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method, 2019
Chen, Yin-Hsiu; Mukherjee, Bhramar; Berrocal, Veronica J: Distributed Lag Interaction Models with Two Pollutants., 2019
Chen, Yu-Han; Su, Ching-Chieh; Deng, Wu; Lock, Leslie F; Donovan, Peter J; Kayala, Matthew A et al.: Mitochondrial Akt Signaling Modulated Reprogramming of Somatic Cells., 2019
Chén, Oliver Y; Cao, Hengyi; Reinen, Jenna M; Qian, Tianchen; Gou, Jiangtao; Phan, Huy et al.: Resting-state brain information flow predicts cognitive flexibility in humans, 2019
Coffield, Shane R; Graff, Casey A; Chen, Yang; Smyth, Padhraic; Foufoula-Georgiou, Efi; Randerson, James T: Machine learning to predict final fire size at the time of ignition, 2019
Cox, Chelsea G; Ryan B A, Mary M; Gillen, Daniel L; Grill, Joshua D: A Preliminary Study of Clinical Trial Enrollment Decisions Among People With Mild Cognitive Impairment and Their Study Partners, 2019
Cruz, Maricela; Gillen, Daniel L; Bender, Miriam; Ombao, Hernando: Assessing health care interventions via an interrupted time series model: Study power and design considerations, 2019
Czamara, Darina; Eraslan, Gökçen; Page, Christian M; Lahti, Jari; Lahti-Pulkkinen, Marius; Hämäläinen, Esa et al.: Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns, 2019
Davis, Elysia Poggi; Korja, Riikka; Karlsson, Linnea; Glynn, Laura M; Sandman, Curt A; Vegetabile, Brian et al.: Across continents and demographics, unpredictable maternal signals are associated with children's cognitive function, 2019
Dutilh, Gilles; Annis, Jeffrey; Brown, Scott D; Cassey, Peter; Evans, Nathan J; Grasman, Raoul PPP et al.: The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models, 2019
Feng, Jean; Shaw, David A; Minin, Vladimir N; Simon, Noah; Matsen, Frederick A: Survival analysis of DNA mutation motifs with penalized proportional hazards, 2019
Gao, Xu; Shen, Weining; Ting, Chee-Ming; Cramer, Steven C; Srinivasan, Ramesh; Ombao, Hernando: Estimating Brain Connectivity Using Copula Gaussian Graphical Models, 2019
Gaucher, Jonathan; Kinouchi, Kenichiro; Ceglia, Nicholas; Montellier, Emilie; Peleg, Shahaf; Greco, Carolina Magdalen et al.: Distinct metabolic adaptation of liver circadian pathways to acute and chronic patterns of alcohol intake, 2019
Glynn, Laura M; Stern, Hal S; Howland, Mariann A; Risbrough, Victoria B; Baker, Dewleen G; Nievergelt, Caroline M et al.: Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood, 2019
Grill, Joshua D; Kwon, Jimmy; Teylan, Merilee A; Pierce, Aimee; Vidoni, Eric D; Burns, Jeffrey M et al.: Retention of Alzheimer Disease Research Participants, 2019