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Year Number of Results
1904 2
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1943 1
1945 1
1946 6
1947 7
1948 8
1949 10
1950 3
1951 5
1952 12
1953 7
1954 11
1955 14
1956 11
1957 15
1958 17
1959 14
1960 19
1961 29
1962 26
1963 31
1964 30
1965 46
1966 54
1967 47
1968 65
1969 65
1970 78
1971 86
1972 84
1973 107
1974 111
1975 268
1976 260
1977 285
1978 315
1979 347
1980 438
1981 460
1982 469
1983 652
1984 727
1985 744
1986 864
1987 939
1988 1032
1989 1319
1990 1387
1991 1601
1992 1726
1993 2019
1994 2221
1995 2097
1996 2032
1997 2215
1998 2399
1999 2641
2000 3034
2001 3464
2002 3815
2003 4387
2004 5228
2005 6587
2006 7661
2007 8731
2008 9805
2009 11098
2010 12552
2011 14775
2012 16528
2013 18361
2014 20420
2015 22702
2016 24674
2017 26562
2018 29614
2019 32849
2020 39805
2021 48241
2022 53168
2023 54019
2024 20807

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470,848 results

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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine.
He X, Liu X, Zuo F, Shi H, Jing J. He X, et al. Semin Cancer Biol. 2023 Jan;88:187-200. doi: 10.1016/j.semcancer.2022.12.009. Epub 2022 Dec 31. Semin Cancer Biol. 2023. PMID: 36596352 Review.
Finally, we discuss the challenges faced in multi-omics analysis, along with tentative future trends in this field. With the increasing application of artificial intelligence in multi-omics analysis, we anticipate a shifting paradigm in precision medicine becoming d …
Finally, we discuss the challenges faced in multi-omics analysis, along with tentative future trends in this field. With the increasi …
Multi-Photon Microscopy.
Sanderson J. Sanderson J. Curr Protoc. 2023 Jan;3(1):e634. doi: 10.1002/cpz1.634. Curr Protoc. 2023. PMID: 36706245 Review.
Multi-photon microscopy is often referred to as two-photon microscopy. ...It is this non-linear relationship (or third exponential power in the case of three-photon excitation) that determines the axial optical sectioning capability of multi-photon imaging. In this …
Multi-photon microscopy is often referred to as two-photon microscopy. ...It is this non-linear relationship (or third exponential po …
Protein multi-functionality: introduction.
Gurevich VV. Gurevich VV. Cell Mol Life Sci. 2019 Nov;76(22):4405-4406. doi: 10.1007/s00018-019-03271-6. Epub 2019 Aug 17. Cell Mol Life Sci. 2019. PMID: 31422443 Review.
The five articles in this multi-author review in CMLS provide examples of multi-functionality of proteins belonging to several families. ...Particular functions in a multi-functional protein are often fulfilled by identifiable smaller elements that can be exp …
The five articles in this multi-author review in CMLS provide examples of multi-functionality of proteins belonging to several …
Multi-Omics-Based Discovery of Plant Signaling Molecules.
Luo F, Yu Z, Zhou Q, Huang A. Luo F, et al. Metabolites. 2022 Jan 13;12(1):76. doi: 10.3390/metabo12010076. Metabolites. 2022. PMID: 35050197 Free PMC article. Review.
The effective application of multi-omics tools is the key to uncovering unknown plant signaling molecules. ...Based on the problem-oriented overview of the theoretical and application aspects of multi-omics, current limitations and future development of multi …
The effective application of multi-omics tools is the key to uncovering unknown plant signaling molecules. ...Based on the problem-or …
A Customizable Analysis Flow in Integrative Multi-Omics.
Lancaster SM, Sanghi A, Wu S, Snyder MP. Lancaster SM, et al. Biomolecules. 2020 Nov 27;10(12):1606. doi: 10.3390/biom10121606. Biomolecules. 2020. PMID: 33260881 Free PMC article. Review.
The number of researchers using multi-omics is growing. Though still expensive, every year it is cheaper to perform multi-omic studies, often exponentially so. In addition to its increasing accessibility, multi-omics reveals a view of systems biology to an un …
The number of researchers using multi-omics is growing. Though still expensive, every year it is cheaper to perform multi-omic …
Contrastive Multi-View Kernel Learning.
Liu J, Liu X, Yang Y, Liao Q, Xia Y. Liu J, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Aug;45(8):9552-9566. doi: 10.1109/TPAMI.2023.3253211. Epub 2023 Jun 30. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 37028046
Kernel method is a proven technique in multi-view learning. It implicitly defines a Hilbert space where samples can be linearly separated. ...To the best of our knowledge, this is the first attempt to explore kernel generation in multi-view setting and the first app …
Kernel method is a proven technique in multi-view learning. It implicitly defines a Hilbert space where samples can be linearly separ …
Toward a framework for systemic multi-hazard and multi-risk assessment and management.
Hochrainer-Stigler S, Trogrlić Šakić R, Reiter K, Ward PJ, de Ruiter MC, Duncan MJ, Torresan S, Ciurean R, Mysiak J, Stuparu D, Gottardo S. Hochrainer-Stigler S, et al. iScience. 2023 Apr 26;26(5):106736. doi: 10.1016/j.isci.2023.106736. eCollection 2023 May 19. iScience. 2023. PMID: 37216095 Free PMC article. Review.
The complexities involved in tackling multi-hazards and multi-risks hinder a more holistic and integrative perspective and make it difficult to identify overarching dimensions important for assessment and management purposes. We contribute to this discussion by buil …
The complexities involved in tackling multi-hazards and multi-risks hinder a more holistic and integrative perspective and mak …
Computational strategies for single-cell multi-omics integration.
Adossa N, Khan S, Rytkönen KT, Elo LL. Adossa N, et al. Comput Struct Biotechnol J. 2021 Apr 27;19:2588-2596. doi: 10.1016/j.csbj.2021.04.060. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 34025945 Free PMC article. Review.
To pair with the recent biotechnological developments, many computational approaches to process and analyze single-cell multi-omics data have been proposed. In this review, we first introduce recent developments in single-cell multi-omics in general and then focus o …
To pair with the recent biotechnological developments, many computational approaches to process and analyze single-cell multi-omics d …
Multi-Emission from Single Metal-Organic Frameworks under Single Excitation.
Yin HQ, Yin XB. Yin HQ, et al. Small. 2022 Apr;18(14):e2106587. doi: 10.1002/smll.202106587. Epub 2021 Dec 19. Small. 2022. PMID: 34923736 Review.
The variety of metal nodes and ligands makes MOFs with great superiority as multi-emission matrices. Guest species encapsulated into the channels or pores of MOFs are the additional emission sites for multi-emission. ...The design strategies of multi-emission …
The variety of metal nodes and ligands makes MOFs with great superiority as multi-emission matrices. Guest species encapsulated into …
MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction.
Wang Z, Deng Z, Zhang W, Lou Q, Choi KS, Wei Z, Wang L, Wu J. Wang Z, et al. Brief Bioinform. 2023 Jul 20;24(4):bbad201. doi: 10.1093/bib/bbad201. Brief Bioinform. 2023. PMID: 37258453
However, how to fully exploit the views for effective protein sequence analysis remains a challenge. In this regard, we propose a multi-view, multi-scale and multi-attention deep neural model (MMSMA) for protein function prediction. ...Second, a specific m …
However, how to fully exploit the views for effective protein sequence analysis remains a challenge. In this regard, we propose a multi …
470,848 results
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