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

Year Number of Results
1913 1
1916 1
1917 1
1920 4
1921 1
1922 2
1923 1
1924 2
1925 1
1926 3
1927 1
1928 1
1929 1
1930 2
1931 2
1932 1
1933 1
1934 1
1935 3
1938 4
1939 2
1940 2
1941 3
1942 3
1943 3
1944 6
1945 5
1946 21
1947 22
1948 11
1949 21
1950 11
1951 25
1952 31
1953 38
1954 43
1955 47
1956 62
1957 73
1958 80
1959 110
1960 79
1961 110
1962 102
1963 131
1964 142
1965 165
1966 213
1967 371
1968 473
1969 438
1970 520
1971 585
1972 694
1973 760
1974 876
1975 2942
1976 2981
1977 2844
1978 2936
1979 3388
1980 3629
1981 4038
1982 4570
1983 5806
1984 6557
1985 7147
1986 7691
1987 8660
1988 12018
1989 15425
1990 18419
1991 20887
1992 23720
1993 27138
1994 30529
1995 33580
1996 31819
1997 30823
1998 31989
1999 33908
2000 37490
2001 39036
2002 40612
2003 44980
2004 51133
2005 57272
2006 61596
2007 66902
2008 70051
2009 75455
2010 82912
2011 92509
2012 102611
2013 109360
2014 114963
2015 119748
2016 117519
2017 122790
2018 132904
2019 145395
2020 165500
2021 184491
2022 185265
2023 177853
2024 214946
2025 258926
2026 20008

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2,932,354 results

Results by year

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Page 1
Topological Data Analysis.
Laubenbacher R, Hastings A. Laubenbacher R, et al. Bull Math Biol. 2019 Jul;81(7):2051. doi: 10.1007/s11538-019-00610-3. Bull Math Biol. 2019. PMID: 31066000 No abstract available.
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications.
Su M, Pan T, Chen QZ, Zhou WW, Gong Y, Xu G, Yan HY, Li S, Shi QZ, Zhang Y, He X, Jiang CJ, Fan SC, Li X, Cairns MJ, Wang X, Li YS. Su M, et al. Mil Med Res. 2022 Dec 2;9(1):68. doi: 10.1186/s40779-022-00434-8. Mil Med Res. 2022. PMID: 36461064 Free PMC article. Review.
With the expansion of capacity for high-throughput scRNA-seq, including clinical samples, the analysis of these huge volumes of data has become a daunting prospect for researchers entering this field. Here, we review the workflow for typical scRNA-seq data …
With the expansion of capacity for high-throughput scRNA-seq, including clinical samples, the analysis of these huge volumes of da …
A review on longitudinal data analysis with random forest.
Hu J, Szymczak S. Hu J, et al. Brief Bioinform. 2023 Mar 19;24(2):bbad002. doi: 10.1093/bib/bbad002. Brief Bioinform. 2023. PMID: 36653905 Free PMC article. Review.
If the goal of the study is to develop prediction models, machine learning approaches such as the powerful random forest (RF) are often promising alternatives to standard statistical methods, especially in the context of high-dimensional data. In this paper, we review exte …
If the goal of the study is to develop prediction models, machine learning approaches such as the powerful random forest (RF) are often prom …
RNA-Seq Data Analysis.
Li J, Varghese RS, Ressom HW. Li J, et al. Methods Mol Biol. 2024;2822:263-290. doi: 10.1007/978-1-0716-3918-4_18. Methods Mol Biol. 2024. PMID: 38907924 Free PMC article.
RNA-Seq data analysis stands as a vital part of genomics research, turning vast and complex datasets into meaningful biological insights. It is a field marked by rapid evolution and ongoing innovation, necessitating a thorough understanding for anyone seeking to unl …
RNA-Seq data analysis stands as a vital part of genomics research, turning vast and complex datasets into meaningful biologica …
RNA-Seq Experiment and Data Analysis.
Withanage MHH, Liang H, Zeng E. Withanage MHH, et al. Methods Mol Biol. 2022;2418:405-424. doi: 10.1007/978-1-0716-1920-9_22. Methods Mol Biol. 2022. PMID: 35119677
In this chapter, we describe a protocol to construct an RNA-Seq library for sequencing on Illumina NGS platforms and a computational pipeline to perform RNA-Seq data analysis. The protocols described in this chapter can be applied to the analysis of different …
In this chapter, we describe a protocol to construct an RNA-Seq library for sequencing on Illumina NGS platforms and a computational pipelin …
Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.
Paganelli AI, Mondéjar AG, da Silva AC, Silva-Calpa G, Teixeira MF, Carvalho F, Raposo A, Endler M. Paganelli AI, et al. J Biomed Inform. 2022 Mar;127:104009. doi: 10.1016/j.jbi.2022.104009. Epub 2022 Feb 20. J Biomed Inform. 2022. PMID: 35196579 Free article.
Data mining techniques have been broadly investigated in health systems; however, it is not clear what real-time data analysis techniques are best suited for each context. ...This review gives a comprehensive overview of HMS real-time data analysis …
Data mining techniques have been broadly investigated in health systems; however, it is not clear what real-time data analy …
Functional Data Analysis: An Introduction and Recent Developments.
Gertheiss J, Rügamer D, Liew BXW, Greven S. Gertheiss J, et al. Biom J. 2024 Oct;66(7):e202300363. doi: 10.1002/bimj.202300363. Biom J. 2024. PMID: 39330918 Review.
Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains. ...The paper covers fundamental concepts such as descriptives and outliers, smoothing, amplitude and phase va …
Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions …
Topological data analysis in biomedicine: A review.
Skaf Y, Laubenbacher R. Skaf Y, et al. J Biomed Inform. 2022 Jun;130:104082. doi: 10.1016/j.jbi.2022.104082. Epub 2022 May 1. J Biomed Inform. 2022. PMID: 35508272 Free article. Review.
With this shift toward computerized tools comes a dramatic increase in the amount of available data, and current tools for data analysis capable of extracting meaningful knowledge from this wealth of information have yet to catch up. ...In particular, we focu …
With this shift toward computerized tools comes a dramatic increase in the amount of available data, and current tools for data …
Application of multivariate data analysis for food quality investigations: An example-based review.
Buvé C, Saeys W, Rasmussen MA, Neckebroeck B, Hendrickx M, Grauwet T, Van Loey A. Buvé C, et al. Food Res Int. 2022 Jan;151:110878. doi: 10.1016/j.foodres.2021.110878. Epub 2021 Dec 8. Food Res Int. 2022. PMID: 34980408 Review.
In order to comprehensively extract information from these data sets, proper data analysis tools should be applied. The application of multivariate data analysis (MVDA) is therefore highly recommended. ...Numerous MVDA methods are available in l …
In order to comprehensively extract information from these data sets, proper data analysis tools should be applied. The …
RNA-seq Data Analysis for Differential Expression.
Gill N, Dhillon B. Gill N, et al. Methods Mol Biol. 2022;2391:45-54. doi: 10.1007/978-1-0716-1795-3_4. Methods Mol Biol. 2022. PMID: 34686975
Determining the transcriptional profile could provide valuable clues on how an organism responds to defined stimuli, in this case, how a pathogen colonizes its host. Several robust data analysis methods and pipelines are available that can identify these differentia …
Determining the transcriptional profile could provide valuable clues on how an organism responds to defined stimuli, in this case, how a pat …
2,932,354 results
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