21 to 30 of 33 Results
May 11, 2024 - Cell Maps for Artificial Intelligence
Clark, Timothy; Schaffer, Leah; Obernier, K; Al Manir, Sadnan; Churas, Christopher; Dailamy, A; Doctor, Y; Forget, A; Hansen, JN; Hu, M; Lenkiewicz, J; Levinson, MA; Marquez, C; Mohan, J; Nourreddine, S; Niestroy, J; Pratt, D; Qian, G; Thaker, S; Belisle-Pipon, J-C; Brandt, C; Chen, J; Ding, Y; Fodeh, S; Krogan, N; Lundberg, E; Mali, P; Payne-Foster, P; Ratcliffe, S; Ravitsky, V; Sali, A; Schulz, W; Ideker, T, 2024, "Cell Maps for Artificial Intelligence - Data Release", https://doi.org/10.18130/V3/DXWOS5, University of Virginia Dataverse, V1
This collection is the 0.5 alpha data release of the the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Data Generation Project, a component of the U.S. National Institute of Health’s (NIH) Bridge2AI program. CM4AI’s objective is to deliver machine-readable hierarchical maps of cell architecture as AI-Ready data produced from mul... |
Feb 28, 2024 - Center for Advanced Medical Analytics (CAMA)
Lake, Douglas, 2024, "Replication Data for: Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants", https://doi.org/10.18130/V3/SASYHE, University of Virginia Dataverse, V2
Data associated with publication "Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants". |
May 26, 2023
Sali, Rasoul, 2023, "Crohn's Disease", https://doi.org/10.18130/V3/MMKKEL, University of Virginia Dataverse, V1
This dataset includes microscopic ileal histology images labeled into two classes: Control vs Crohns. - Control images IDs start with INCT and Crohns images IDs with INCR. - The first eight character in the image ID are patient's ID (e.g., INCT0001). - Each patient has one or more whole slide images labeled with capital letters (e.g., INCT0001D) -... |
Apr 25, 2023
Kupkova, Kristyna, 2023, "Epigenetics of chronic childhood undernutrition - supplementary files", https://doi.org/10.18130/V3/IF4EA7, University of Virginia Dataverse, V1
Supplementary files to: "Epigenetics of chronic childhood undernutrition", a dissertation submitted by Kristyna Kupkova in April 2023 to the UVA Department of Biochemistry and Molecular Genetics. The dissertation is available at https://doi.org/10.18130/fv3h-g521 |
Apr 18, 2023
Fisher, Delaney; Sharifi, Khadijeh; Ulutas, Zeynep; Kumar, Jeyan; Kalani, Yashar; Miller, Wilson; Price, Richard; Tvrdik, Petr, 2023, "Replication Data for: MRI of mouse cerebral cavernomas reveal differential lesion progression and variable permeability to gadolinium", https://doi.org/10.18130/V3/SF1TS3, University of Virginia Dataverse, V1
METHODS: We established a chronic mouse model of CCM, induced by postnatal ablation of Krit1 with Pdgfb-CreERT, and examined lesion progression in these mice with T2-weighted 7T MRI. We also established a modified protocol for dynamic contrast-enhanced (DCE) MRI and produced quantitative maps of gadolinium tracer gadobenate dimeglumine. RESULTS: Th... |
Feb 22, 2022
Mccartney, Christopher, 2021, "Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials", https://doi.org/10.18130/V3/ANXWCF, University of Virginia Dataverse, V3
Supplemental Materials for "Acute progesterone feedback on gonadotropin secretion is not demonstrably altered in estradiol-pretreated women with polycystic ovary syndrome," authors Su Hee Kim, Jessica A. Lundgren, James T. Patrie, Christine M. Burt Solorzano, and Christopher R. McCartney. |
Adorno, William, 2021, "Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis", https://doi.org/10.18130/V3/OJKSL9, University of Virginia Dataverse, V4
This contains data to replicate the eosionphil segmentation model and the EoE classification model. |
Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA)
Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1
This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3... |
Mar 31, 2021
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1
Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis". |
Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA)
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF]
Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis |
