Least-squares methods for identifying biochemical regulatory networks from noisy measurements [PDF]
BMC Bioinformatics, 2007 Background We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data. Typically, approaches for solving this problem make use of an estimation algorithm such as the well-known linear Least ...
Heslop-Harrison Pat +4 more
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Identifying a Csmd3<sup>+</sup> Microglial Subpopulation that Drives Cold-to-Hot Transition and Immune-Cure in Glioblastoma. [PDF]
Adv Sci (Weinh)The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Jiang HF +12 more
europepmc +2 more sources
An improved mixed total least squares method for strain inversion from distance changes
Geodesy and Geodynamics, 2016 Based on the deficiency of the traditional total least squares method (TLS) in the field of geodetic inversion, the mixed error characteristics of the errors in variables (EIV) model were analyzed by considering the distance azimuth measurement error in ...
Zhiping Liu, Sida Li, Hefang Bian
doaj +1 more source
Generalized eigenvalue approach for dynamic mode decomposition
AIP Advances, 2021 Traditional dynamic mode decomposition (DMD) methods inevitably involve matrix inversion, which often brings in numerical instability and spurious modes.
Wei Zhang, Mingjun Wei
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High-performance numerical algorithms and software for structured total least squares [PDF]
, 2005 We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact.
Van Huffel, S. +3 more
core +2 more sources
A Comparison of SVD-Augmented Prony Algorithms for Noisy Power System Signals
IEEE Access, 2023 The conventional Prony algorithm, which is the most prominent power system ring-down mode identification method, fails if the test signal is noisy [with a signal-to-noise ratio (SNR) below 20 dB].
Krishna Rao, K. N. Shubhanga
doaj +1 more source
Methodology for Extraction of Tunnel Cross-Sections Using Dense Point Cloud Data [PDF]
Journal of Geodesy and Geoinformation Science, 2021 Tunnel deformation monitoring is a crucial task to evaluate tunnel stability during the metro operation period. Terrestrial Laser Scanning (TLS) can collect high density and high accuracy point cloud data in a few minutes as an innovation technique ...
Yueqian SHEN,Jinguo WANG,Jinhu WANG,Wei DUAN,Vagner G. FERREIRA
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Total Least Squares (TLS) im Kontext der Ausgleichung nach kleinsten Quadraten am Beispiel der ausgleichenden Geraden [PDF]
ZFV (Augsburg), 2008 In diesem Beitrag wird eine ausgleichende Gerade in der Ebene behandelt, bei der beide Koordinatenkomponenten mit zufälligen Fehlern behaftete Messgrößen sind. Es wird gezeigt, dass eine sachgerechte Anwendung der Methode der kleinsten Quadrate dasselbe Ergebnis liefert wie die entsprechende Anwendung von Total Least Squares (TLS), da in beiden Fällen ...
Neitzel, F., Petrovic, S.
openaire +3 more sources
Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
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Nonlinear total least-squares variance component estimation for GM(1,1) model
Geodesy and Geodynamics, 2021 The solution of the grey model (GM(1,1) model) generally involves equal-precision observations, and the (co)variance matrix is established from the prior information.
Leyang Wang, Jianqiang Sun, Qiwen Wu
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