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

Year Number of Results
1908 1
1915 1
1917 1
1921 1
1922 1
1923 2
1925 1
1926 1
1927 2
1928 1
1929 1
1930 2
1936 4
1939 3
1940 1
1941 1
1942 2
1943 2
1945 2
1948 1
1949 1
1950 4
1953 7
1954 1
1955 3
1956 5
1957 6
1958 6
1959 6
1960 8
1961 10
1962 5
1963 9
1964 11
1965 12
1966 14
1967 12
1968 20
1969 38
1970 29
1971 36
1972 36
1973 33
1974 43
1975 224
1976 222
1977 195
1978 210
1979 217
1980 210
1981 250
1982 259
1983 295
1984 299
1985 310
1986 330
1987 318
1988 336
1989 412
1990 391
1991 455
1992 486
1993 476
1994 421
1995 519
1996 549
1997 518
1998 543
1999 548
2000 654
2001 633
2002 679
2003 733
2004 773
2005 852
2006 899
2007 935
2008 1044
2009 1069
2010 1145
2011 1239
2012 1357
2013 1401
2014 1445
2015 1447
2016 1441
2017 1456
2018 1539
2019 1572
2020 1780
2021 1926
2022 1958
2023 1926
2024 887

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36,916 results

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Page 1
Defining Transcriptional Signatures of Human Hair Follicle Cell States.
Takahashi R, Grzenda A, Allison TF, Rawnsley J, Balin SJ, Sabri S, Plath K, Lowry WE. Takahashi R, et al. J Invest Dermatol. 2020 Apr;140(4):764-773.e4. doi: 10.1016/j.jid.2019.07.726. Epub 2019 Oct 31. J Invest Dermatol. 2020. PMID: 31676413 Free PMC article. Review.
The epidermis and its appendage, the hair follicle, represent an elegant developmental system in which cells are replenished with regularity because of controlled proliferation, lineage specification, and terminal differentiation. Although transcriptome data exists …
The epidermis and its appendage, the hair follicle, represent an elegant developmental system in which cells are replenished with …
Grid Cell Percolation.
Dabaghian Y. Dabaghian Y. Neural Comput. 2023 Sep 8;35(10):1609-1626. doi: 10.1162/neco_a_01606. Neural Comput. 2023. PMID: 37523457
The key property of these cells-the regular arrangement of their firing fields-is commonly viewed as a means for establishing spatial scales or encoding specific locations. ...This article addresses statistical mechanisms enabling emergent regularity of grid …
The key property of these cells-the regular arrangement of their firing fields-is commonly viewed as a means for establishing …
Quantitative modeling of regular retinal microglia distribution.
Endo Y, Asanuma D, Namiki S, Sugihara K, Hirose K, Uemura A, Kubota Y, Miura T. Endo Y, et al. Sci Rep. 2021 Nov 22;11(1):22671. doi: 10.1038/s41598-021-01820-3. Sci Rep. 2021. PMID: 34811401 Free PMC article.
Microglia are resident immune cells in the central nervous system, showing a regular distribution. ...The resulting model simulation from the measured parameters showed that direct cell-cell contact is most important in generating regular cel …
Microglia are resident immune cells in the central nervous system, showing a regular distribution. ...The resulting model simu …
From random to regular: Variation in the patterning of retinal mosaics.
Keeley PW, Eglen SJ, Reese BE. Keeley PW, et al. J Comp Neurol. 2020 Sep 1;528(13):2135-2160. doi: 10.1002/cne.24880. Epub 2020 Mar 3. J Comp Neurol. 2020. PMID: 32026463 Free PMC article. Review.
Two common statistical analyses for assessing the spatial properties of retinal mosaics include the nearest neighbor analysis, from which an index of their "regularity" is commonly calculated, and the density recovery profile derived from autocorrelation analysis, revealin …
Two common statistical analyses for assessing the spatial properties of retinal mosaics include the nearest neighbor analysis, from which an …
DeconvolutionLab2: An open-source software for deconvolution microscopy.
Sage D, Donati L, Soulez F, Fortun D, Schmit G, Seitz A, Guiet R, Vonesch C, Unser M. Sage D, et al. Methods. 2017 Feb 15;115:28-41. doi: 10.1016/j.ymeth.2016.12.015. Epub 2017 Jan 3. Methods. 2017. PMID: 28057586 Free article. Review.
We examine several standard algorithms used in deconvolution microscopy, notably: Regularized inverse filter, Tikhonov regularization, Landweber, Tikhonov-Miller, Richardson-Lucy, and fast iterative shrinkage-thresholding. ...
We examine several standard algorithms used in deconvolution microscopy, notably: Regularized inverse filter, Tikhonov regularizat …
Biophysical and synaptic properties of regular spiking interneurons in hippocampal area CA3 of aged rats.
Griego E, Galván EJ. Griego E, et al. Neurobiol Aging. 2022 Apr;112:27-38. doi: 10.1016/j.neurobiolaging.2021.12.007. Epub 2021 Dec 30. Neurobiol Aging. 2022. PMID: 35041997
In hippocampal slices of aged rats (22-28 months old) we examined the properties of regular spiking CA3 interneurons with patch-clamp whole-cell recordings. ...Young regular spiking interneurons predominantly express CP AMPA receptors and MF LTD. ...
In hippocampal slices of aged rats (22-28 months old) we examined the properties of regular spiking CA3 interneurons with patch-clamp …
Mobility-Guided Estimation of COVID-19 Transmission Rates.
Parker D, Pianykh O. Parker D, et al. Am J Epidemiol. 2021 Jun 1;190(6):1081-1087. doi: 10.1093/aje/kwab001. Am J Epidemiol. 2021. PMID: 33412586 Free PMC article.
Consequently, models fitted using derivative-based regularization are often biased toward underestimating the current transmission rate and future deaths. In this work, we propose mobility-driven regularization of the SEIR transmission rate trajectory. This method r …
Consequently, models fitted using derivative-based regularization are often biased toward underestimating the current transmission ra …
Blur-Robust Nuclei Segmentation for Immunofluorescence Images.
Mandal D, Vahadane A, Sharma S, Majumdar S. Mandal D, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:3475-3478. doi: 10.1109/EMBC46164.2021.9629787. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34891988
The addition of a separate deblurring task in the training paradigm helps to regularize the network on blurry images. Our proposed method accurately predicts the instance nuclei segmentation on sharp as well as out-of-focus images. Additionally, predicted deblurred image p …
The addition of a separate deblurring task in the training paradigm helps to regularize the network on blurry images. Our proposed me …
Structured sparsity regularization for analyzing high-dimensional omics data.
Vinga S. Vinga S. Brief Bioinform. 2021 Jan 18;22(1):77-87. doi: 10.1093/bib/bbaa122. Brief Bioinform. 2021. PMID: 32597465 Review.
The development of new molecular and cell technologies is having a significant impact on the quantity of data generated nowadays. ...The successful application to omics data illustrates the potential of sparse structured regularization for identifying disease's mole …
The development of new molecular and cell technologies is having a significant impact on the quantity of data generated nowadays. ... …
Refinement of Cerebellar Network Organization by Extracellular Signaling During Development.
Park H, Yamamoto Y, Tanaka-Yamamoto K. Park H, et al. Neuroscience. 2021 May 10;462:44-55. doi: 10.1016/j.neuroscience.2020.05.036. Epub 2020 Jun 2. Neuroscience. 2021. PMID: 32502568 Review.
The cerebellum forms regular neural network structures consisting of a few major types of neurons, such as Purkinje cells, granule cells, and molecular layer interneurons, and receives two major inputs from climbing fibers and mossy fibers. Its regular …
The cerebellum forms regular neural network structures consisting of a few major types of neurons, such as Purkinje cells, gra …
36,916 results
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