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

Year Number of Results
1946 2
1947 6
1948 12
1949 9
1950 8
1951 4
1952 5
1953 12
1954 9
1955 7
1956 7
1957 6
1958 9
1959 9
1960 10
1961 9
1962 22
1963 117
1964 134
1965 185
1966 185
1967 276
1968 389
1969 368
1970 260
1971 283
1972 348
1973 285
1974 150
1975 129
1976 94
1977 95
1978 140
1979 133
1980 83
1981 99
1982 90
1983 114
1984 145
1985 111
1986 111
1987 109
1988 106
1989 119
1990 131
1991 184
1992 190
1993 255
1994 282
1995 286
1996 340
1997 518
1998 510
1999 527
2000 569
2001 599
2002 579
2003 630
2004 809
2005 892
2006 996
2007 1067
2008 1072
2009 1066
2010 1306
2011 1491
2012 1607
2013 1744
2014 1688
2015 1555
2016 1543
2017 1542
2018 1476
2019 688
2020 17
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27,401 results
Results by year
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Page 1
Normalization of RNA-seq data using factor analysis of control genes or samples.
Risso D, et al. Nat Biotechnol 2014. PMID 25150836 Free PMC article.
We propose a normalization strategy, called remove unwanted variation (RUV), that adjusts for nuisance technical effects by performing factor analysis on suitable sets of control genes (e.g., ERCC spike-ins) or samples (e.g., replicate libraries). ...
We propose a normalization strategy, called remove unwanted variation (RUV), that adjusts for nuisance technical effects by performing fa
Unravelling factor analysis.
Ismail K. Evid Based Ment Health 2008 - Review. PMID 18952952
On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use.
Gaskin CJ and Happell B. Int J Nurs Stud 2014 - Review. PMID 24183474
Exploratory factor analysis (hereafter, factor analysis) is a complex statistical method that is integral to many fields of research. ...The literature reviews illustrate that factor analysis remains a dynamic field of study, with recent research having practical implications for those who use this statistical method. ...
Exploratory factor analysis (hereafter, factor analysis) is a complex statistical method that is integral …
Exploratory factor analysis in validation studies: uses and recommendations.
Izquierdo I, et al. Psicothema 2014. PMID 25069561
BACKGROUND: The Exploratory Factor Analysis (EFA) procedure is one of the most commonly used in social and behavioral sciences. ...METHOD: The use of exploratory factor analysis is examined in 117 papers published between 2011 and 2012 in 3 Spanish psychological journals with the highest impact within the previous five years. ...
BACKGROUND: The Exploratory Factor Analysis (EFA) procedure is one of the most commonly used in social and behavioral sciences …
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Clevers E, et al. Clin Gastroenterol Hepatol 2019. PMID 30315945
A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis.
Sakata M, et al. Conf Proc IEEE Eng Med Biol Soc 2018. PMID 30441252
This paper proposes a standing function evaluation system on the basis of factor analysis for indices related to standing characteristics. For this approach, five standing function factors were checked in a large-scale experiment using the results of extraction from 48 indices based on factor analysis. ...
This paper proposes a standing function evaluation system on the basis of factor analysis for indices related to standing char …
Developing interpretive structural modeling based on factor analysis for the water-energy-food nexus conundrum.
Li G, et al. Sci Total Environ 2019. PMID 30240915
Factor identification and analysis are effective ways to explain and quantify complex relationships in the water-energy-food nexus (WEF-nexus). ...Factor analysis suggests that the portrayed nexus structure could provide valuable references for further quantification and decision making....
Factor identification and analysis are effective ways to explain and quantify complex relationships in the water-energy-food n
[A factor analysis method for contingency table data with unlimited multiple choice questions].
Toyoda H, et al. Shinrigaku Kenkyu 2016. PMID 26964368 Japanese.
The purpose of this study is to propose a method of factor analysis for analyzing contingency tables developed from the data of unlimited multiple-choice questions. This method assumes that the element of each cell of the contingency table has a binominal distribution and a factor analysis model is applied to the logit of the selection probability. ...
The purpose of this study is to propose a method of factor analysis for analyzing contingency tables developed from the data o …
Factor analysis of hyphenated chromatographic data exploration, resolution and quantification of multicomponent systems.
de Juan A and Tauler R. J Chromatogr A 2007 - Review. PMID 17543980
Factor analysis (FA) is a family of widely used methods to obtain the underlying sources of variation of data tables. Typically, hyphenated chromatographic data provide data tables with one elution direction and another linked to the detector response. In this context, the factors are the eluting compounds and the profiles defining each factor are the elution profile and the pure response of the compound. ...
Factor analysis (FA) is a family of widely used methods to obtain the underlying sources of variation of data tables. Typicall
27,401 results
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