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

Year Number of Results
1975 1
1976 2
1982 1
1985 1
1987 1
1988 4
1989 1
1990 7
1991 11
1992 6
1993 11
1994 17
1995 25
1996 27
1997 17
1998 22
1999 25
2000 30
2001 29
2002 37
2003 36
2004 62
2005 82
2006 125
2007 124
2008 145
2009 180
2010 220
2011 208
2012 272
2013 290
2014 373
2015 381
2016 427
2017 506
2018 600
2019 859
2020 1055
2021 1487
2022 1942
2023 1979
2024 959

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11,550 results

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Page 1
WGCNA: an R package for weighted correlation network analysis.
Langfelder P, Horvath S. Langfelder P, et al. BMC Bioinformatics. 2008 Dec 29;9:559. doi: 10.1186/1471-2105-9-559. BMC Bioinformatics. 2008. PMID: 19114008 Free PMC article.
Weighted correlation network analysis (WGCNA) can be used for finding clusters (modules) of highly correlated genes, for summarizing such clusters using the module eigengene or an intramodular hub gene, for relating modules to one another and to extern …
Weighted correlation network analysis (WGCNA) can be used for finding clusters (modules) of highly correlated genes, for summa …
Gene Co-expression Network Analysis.
Montenegro JD. Montenegro JD. Methods Mol Biol. 2022;2443:387-404. doi: 10.1007/978-1-0716-2067-0_19. Methods Mol Biol. 2022. PMID: 35037216
By means of these techniques, different groups have been able to assign putative metabolic pathways and functions to understudied genes and to identify novel metabolic regulation networks for different metabolites. Some groups have even used network comparative stud …
By means of these techniques, different groups have been able to assign putative metabolic pathways and functions to understudied genes and …
Error-Aware Data Clustering for In-Network Data Reduction in Wireless Sensor Networks.
Alam MK, Aziz AA, Latif SA, Awang A. Alam MK, et al. Sensors (Basel). 2020 Feb 13;20(4):1011. doi: 10.3390/s20041011. Sensors (Basel). 2020. PMID: 32069936 Free PMC article.
The proposed EDC consists of three adaptive modules that allow users to choose the module that suits their requirements and the quality of the data. The histogram-based data clustering (HDC) module groups temporal correlated data into clu …
The proposed EDC consists of three adaptive modules that allow users to choose the module that suits their requirements and th …
Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis.
Liang W, Sun F, Zhao Y, Shan L, Lou H. Liang W, et al. J Diabetes Res. 2020 May 10;2020:4178639. doi: 10.1155/2020/4178639. eCollection 2020. J Diabetes Res. 2020. PMID: 32455133 Free PMC article.
OBJECTIVE: To identify susceptibility modules and genes for cardiovascular disease in diabetic patients using weighted gene coexpression network analysis (WGCNA). ...CONCLUSION: This was the first study that used the WGCNA method to construct a coexpression netwo …
OBJECTIVE: To identify susceptibility modules and genes for cardiovascular disease in diabetic patients using weighted gene coexpress …
Tracking Egocentric Social Network Change Across Three Rounds of National Survey Data.
Cornwell B, Schumm LP, Laumann EO, Goldman AW, Compernolle EL. Cornwell B, et al. J Gerontol B Psychol Sci Soc Sci. 2021 Dec 17;76(Suppl 3):S266-S275. doi: 10.1093/geronb/gbab100. J Gerontol B Psychol Sci Soc Sci. 2021. PMID: 34918152 Free PMC article.
BACKGROUND: The National Social Life, Health, and Aging Project (NSHAP) has collected 3 rounds of data on older adults' egocentric social networks. We describe the structure of network data collection for different components of the sample and the d …
BACKGROUND: The National Social Life, Health, and Aging Project (NSHAP) has collected 3 rounds of data on older adults' egocentric so …
AMEND: active module identification using experimental data and network diffusion.
Boyd SS, Slawson C, Thompson JA. Boyd SS, et al. BMC Bioinformatics. 2023 Jul 6;24(1):277. doi: 10.1186/s12859-023-05376-z. BMC Bioinformatics. 2023. PMID: 37415126 Free PMC article.
For example, by integrating transcriptomic data and protein-protein interaction (PPI) networks, one can better understand how the altered expression of several genes are related with one another. ...RESULTS: To address the above goal, we developed a method called Ac …
For example, by integrating transcriptomic data and protein-protein interaction (PPI) networks, one can better understand how …
Quantum pulse coupled neural network.
Wang Z, Xu M, Zhang Y. Wang Z, et al. Neural Netw. 2022 Aug;152:105-117. doi: 10.1016/j.neunet.2022.04.007. Epub 2022 Apr 18. Neural Netw. 2022. PMID: 35523083
In order to take advantage of the parallel computing of quantum computing to solve the difficulties of large computation in neural network, quantum neural network was proposed. In this paper, based on the pulse coupled neural network (PCNN), quantum pulse cou …
In order to take advantage of the parallel computing of quantum computing to solve the difficulties of large computation in neural networ …
Pathway network inference from gene expression data.
Ponzoni I, Nueda M, Tarazona S, Götz S, Montaner D, Dussaut J, Dopazo J, Conesa A. Ponzoni I, et al. BMC Syst Biol. 2014;8 Suppl 2(Suppl 2):S7. doi: 10.1186/1752-0509-8-S2-S7. Epub 2014 Mar 13. BMC Syst Biol. 2014. PMID: 25032889 Free PMC article.
BACKGROUND: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipline. Analysis and interpretation of gene expression data …
BACKGROUND: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and …
Multi-phase attention network for face super-resolution.
Hu T, Chen Y. Hu T, et al. PLoS One. 2023 Feb 24;18(2):e0280986. doi: 10.1371/journal.pone.0280986. eCollection 2023. PLoS One. 2023. PMID: 36827299 Free PMC article.
Prior and attribute-based face super-resolution methods have improved performance with extra trained results. However, they need an additional network and extra training data are challenging to obtain. To address these issues, we propose a Multi-phase Attention N …
Prior and attribute-based face super-resolution methods have improved performance with extra trained results. However, they need an addition …
On the limits of active module identification.
Lazareva O, Baumbach J, List M, Blumenthal DB. Lazareva O, et al. Brief Bioinform. 2021 Sep 2;22(5):bbab066. doi: 10.1093/bib/bbab066. Brief Bioinform. 2021. PMID: 33782690
To this end, AMIMs combine network analysis algorithms with molecular profiling data, most commonly, by projecting gene expression data onto generic protein-protein interaction (PPI) networks. Although active module identification has led to var …
To this end, AMIMs combine network analysis algorithms with molecular profiling data, most commonly, by projecting gene expres …
11,550 results
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