Results 121 to 130 of about 14,001 (154)

EBV Early Lytic Antigens, EBNA2 and PDL-1, in Progressive Multiple Sclerosis Brain: A Coordinated Contribution to Viral Immune Evasion. [PDF]

Int J Mol Sci
Benincasa L, Rosicarelli B, Meloni C, Serafini B.   +3 more
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Models of thermal motion in small-molecule crystallography. [PDF]

IUCrJ
Hoser A, Madsen AØ.
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Interferon-responsive HEVs drive tumor tertiary lymphoid structure formation and predict immunotherapy response in nasopharyngeal carcinoma. [PDF]

Cell Rep Med
Liu SX, Wu TW, Luo DH, Zhang LL, Zhou L, Luo YL, Du WT, Huang TT, Jiang S, Zhang Z, Han P, Zeng MS, Zhong Q.   +12 more
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Extraction of Moso Bamboo Parameters Based on the Combination of ALS and TLS Point Cloud Data. [PDF]

Sensors (Basel)
Fan S, Jing S, Xu W, Wu B, Li M, Jing H.
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A Compensation Method for the Geomagnetic Measurement Error of an Underwater Ship-Borne Magnetometer Based on Constrained Total Least Squares. [PDF]

Sensors (Basel)
Tong Y, Huang X, Chen Y, Li W, Zha F.
europepmc   +1 more source

Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes. [PDF]

Front Immunol
Zhang X, Li L, Shi X, Zhao Y, Cai Z, Ni N, Yang D, Meng Z, Gao X, Huang L, Wang T.   +10 more
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Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer. [PDF]

Transl Cancer Res
Du J, Liu X, Jin Z, Jiang Q, Li Y, Liu C, Wang B, Liu Y.   +7 more
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Cryo-EM structures of Egl–BicD–RNA complexes reveal how diverse mRNAs are selected for subcellular localization

Singh K, Chilaeva S, McClintock MA, Carter AP, Bullock SL.   +4 more
europepmc   +1 more source

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Kernel-based Nonlinear Fit with Total Least Square(TLS) Method

2007 Chinese Control Conference, 2006
In this paper, on the basis of linear fit in the total least square(TLS) method sense, we proposed a method of nonlinear fit in the TLS method sense via kernel representation. Namely, by using an appropriate kernel function, the problems of nonlinear fit can be transformed to the problems of linear fit without paying the computational penalty and ...
Hu Guanghua, Fu Guanghui
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Application of total least squares (TLS) to the design of sparse signal representation dictionaries

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2003
Sparse signal representation has been the subject of much research in recent years in a variety of applications. We address the problem of learning a dictionary of waveforms from a given set of data signals, which may then be used to provide efficient and meaningful signal decompositions.
S.F. Cotter, B.D. Rao
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