1 linear-nonlinear model (via spike-triggered
covariance analysis).
2 situ using light microscopy and Fluorescence
Covariance Analysis.
3 s, we subjected 330 aligned RRM sequences to
covariance analysis.
4 nd different motional coupling, as seen with
covariance analysis.
5 Evolutionary
covariance analysis allowed tracing of the a subunit seq
6 Spike-triggered
covariance analysis allows us to determine a generalizat
7 patients (set 2) were subjected to sequence
covariance analysis by evaluating the mutual information
8 etabolic brain imaging combined with spatial
covariance analysis could accurately discriminate patien
9 Regional
covariance analysis demonstrated that internal pallidal
10 Subsequent evolutionary
covariance analysis enabled construction of a model of t
11 This study demonstrates the power of
covariance analysis for investigating single neuron comp
12 A
covariance analysis further revealed a striking reductio
13 Interregional
covariance analysis further showed significant task-rela
14 During recent years, spatial
covariance analysis has been used with (18)F-fluorodeoxy
15 Finally applying Fluorescence
Covariance Analysis in live cells expressing fluorescent
16 Covariance analysis of data generated by the three techn
17 of cells were resolved from a pixel-by-pixel
covariance analysis of fluctuations in potentiometric fl
18 Covariance analysis of interresidue motions shows that t
19 Molecular determinants were identified by
covariance analysis of residue coevolution and structura
20 In Parkinson's disease, spatial
covariance analysis of resting-state metabolic images ha
21 rative mechanism that can be elucidated by a
covariance analysis of sequence data.
22 The
covariance analysis of the data showed that the isomeris
23 Furthermore,
covariance analysis of the ligand with both protein and
24 tics, ancestral sequence reconstruction, and
covariance analysis on a curated set of 390 full-length
25 Indeed,
covariance analysis revealed a gradual augmentation in q
26 This across subject
covariance analysis revealed a region in the right super
27 Covariance analysis revealed a relatively less coordinat
28 The seed region of interest
covariance analysis revealed distinct (18)F-labelled flu
29 Covariance analysis revealed that the dentate gyrus, hip
30 A multivariate
covariance analysis,
seed partial least squares, reveale
31 Covariance analysis suggests heterogeneity of both serot
32 Covariance analysis supported the hypothesis of changes
33 We use
covariance analysis to identify correlated modular oscil
34 Spatial
covariance analysis was applied to scan data from the co
35 HRMS-NMR
covariance analysis was carried out to correlate the flu
36 Covariance analysis was performed to adjust for relevant
37 The significant contacts revealed by
covariance analysis were further investigated by means o
38 s of covariance and multivariate analysis of
covariance analysis)
were employed with a Tukey-Kramer p
39 We developed a method that combines
covariance analysis with global inference analysis, adop