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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1977 1
1980 1
1981 2
1982 1
1983 1
1985 3
1986 1
1987 1
1988 1
1989 2
1990 1
1991 8
1992 1
1993 2
1994 7
1995 7
1996 5
1997 10
1998 12
1999 12
2000 13
2001 30
2002 29
2003 30
2004 33
2005 43
2006 59
2007 66
2008 80
2009 82
2010 97
2011 95
2012 100
2013 117
2014 176
2015 185
2016 202
2017 243
2018 277
2019 315
2020 367
2021 443
2022 521
2023 495
2024 210

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3,875 results

Results by year

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Page 1
Spatial Transcriptomics Depict Ligand-Receptor Cross-talk Heterogeneity at the Tumor-Stroma Interface in Long-Term Ovarian Cancer Survivors.
Ferri-Borgogno S, Zhu Y, Sheng J, Burks JK, Gomez JA, Wong KK, Wong STC, Mok SC. Ferri-Borgogno S, et al. Cancer Res. 2023 May 2;83(9):1503-1516. doi: 10.1158/0008-5472.CAN-22-1821. Cancer Res. 2023. PMID: 36787106 Free PMC article.
Spatial transcriptomics and single-cell RNA-sequencing data were integrated to distinguish tumor and stroma regions, and a computational method was developed to investigate spatially resolved ligand-receptor interactions between various tumor and CAF subtypes …
Spatial transcriptomics and single-cell RNA-sequencing data were integrated to distinguish tumor and stroma regions, and a com …
Spatial and temporal epidemiological analysis in the Big Data era.
Pfeiffer DU, Stevens KB. Pfeiffer DU, et al. Prev Vet Med. 2015 Nov 1;122(1-2):213-20. doi: 10.1016/j.prevetmed.2015.05.012. Epub 2015 Jun 6. Prev Vet Med. 2015. PMID: 26092722 Free PMC article. Review.
Apart from the development of hardware technologies and networking/communication infrastructure, it is necessary to develop appropriate data management tools that make this data accessible for analysis. This includes relational databases, geographical informa …
Apart from the development of hardware technologies and networking/communication infrastructure, it is necessary to develop appropriate d …
DCMS: A data analytics and management system for molecular simulation.
Kumar A, Grupcev V, Berrada M, Fogarty JC, Tu YC, Zhu X, Pandit SA, Xia Y. Kumar A, et al. J Big Data. 2015;2(1):9. doi: 10.1186/s40537-014-0009-5. Epub 2014 Nov 26. J Big Data. 2015. PMID: 26069879 Free PMC article.
We have developed a prototype of DCMS based on the PostgreSQL system and experiments using real MS data and workload show that DCMS significantly outperforms existing MS software systems. We also used it as a platform to test other data management …
We have developed a prototype of DCMS based on the PostgreSQL system and experiments using real MS data and workload show that …
epiDMS: Data Management and Analytics for Decision-Making From Epidemic Spread Simulation Ensembles.
Liu S, Poccia S, Candan KS, Chowell G, Sapino ML. Liu S, et al. J Infect Dis. 2016 Dec 1;214(suppl_4):S427-S432. doi: 10.1093/infdis/jiw305. J Infect Dis. 2016. PMID: 28830107 Free PMC article. Review.
Epidemic models are being increasingly used for generating forecasts of the spatial-temporal progression of epidemics at different spatial scales and for assessing the likely impact of different intervention strategies. ...METHODS: We describe and illustrate with ex …
Epidemic models are being increasingly used for generating forecasts of the spatial-temporal progression of epidemics at different …
Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce.
Aji A, Sun X, Vo H, Liu Q, Lee R, Zhang X, Saltz J, Wang F. Aji A, et al. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2013 Nov;2013:528-531. doi: 10.1145/2525314.2525320. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2013. PMID: 27617325 Free PMC article.
In this demonstration, we present Hadoop-GIS - a scalable and high performance spatial query system over MapReduce. Hadoop-GIS provides an efficient spatial query engine to process spatial queries, data and space based partitioning, and query pi …
In this demonstration, we present Hadoop-GIS - a scalable and high performance spatial query system over MapReduce. Hadoop-GIS …
A data management framework for strategic urban planning using blue-green infrastructure.
Sörensen J, Persson AS, Olsson JA. Sörensen J, et al. J Environ Manage. 2021 Dec 1;299:113658. doi: 10.1016/j.jenvman.2021.113658. Epub 2021 Sep 13. J Environ Manage. 2021. PMID: 34523536 Free article.
Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the organisation of data management and the skills of trans-disciplinary cooperation to better understand and interpret different typ …
Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the org …
A data processing approach with built-in spatial resolution reduction methods to construct energy system models.
Fleischer CE. Fleischer CE. Open Res Eur. 2022 Feb 10;1:36. doi: 10.12688/openreseurope.13420.2. eCollection 2021. Open Res Eur. 2022. PMID: 37645144 Free PMC article.
Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sources into a format needed to formulate a model. ...The second step aggregates the dataset using a specified spatial aggregation method. …
Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sourc …
Causal inference from cross-sectional earth system data with geographical convergent cross mapping.
Gao B, Yang J, Chen Z, Sugihara G, Li M, Stein A, Kwan MP, Wang J. Gao B, et al. Nat Commun. 2023 Sep 21;14(1):5875. doi: 10.1038/s41467-023-41619-6. Nat Commun. 2023. PMID: 37735466 Free PMC article.
Meanwhile, there are few spatial causation models for fully exploring the rich spatial cross-sectional data in Earth systems. ...Inspired by this, here we show a Geographical Convergent Cross Mapping (GCCM) model for spatial causal inference wit …
Meanwhile, there are few spatial causation models for fully exploring the rich spatial cross-sectional data in Earth …
An integrated photogrammetric and spatial database management system for producing fully structured data using aerial and remote sensing images.
Ahmadi FF, Ebadi H. Ahmadi FF, et al. Sensors (Basel). 2009;9(4):2320-33. doi: 10.3390/s90402320. Epub 2009 Mar 30. Sensors (Basel). 2009. PMID: 22574014 Free PMC article.
3D spatial data acquired from aerial and remote sensing images by photogrammetric techniques is one of the most accurate and economic data sources for GIS, map production, and spatial data updating. However, there are still many problems concern …
3D spatial data acquired from aerial and remote sensing images by photogrammetric techniques is one of the most accurate and e …
A PID-Based kNN Query Processing Algorithm for Spatial Data.
Qiao B, Ma L, Chen L, Hu B. Qiao B, et al. Sensors (Basel). 2022 Oct 9;22(19):7651. doi: 10.3390/s22197651. Sensors (Basel). 2022. PMID: 36236746 Free PMC article.
As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems. How to efficiently process a kNN query on spatial big data has always been an important research topic in the field of …
As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems …
3,875 results