1 linear-nonlinear model (via spike-triggered
covariance analysis).
2 tical regions was quantified with structural
covariance analysis.
3 situ using light microscopy and Fluorescence
Covariance Analysis.
4 s, we subjected 330 aligned RRM sequences to
covariance analysis.
5 nd different motional coupling, as seen with
covariance analysis.
6 Evolutionary
covariance analysis allowed tracing of the a subunit seq
7 Spike-triggered
covariance analysis allows us to determine a generalizat
8 tabolic pattern was identified using spatial
covariance analysis based on (l8) F-FDG-PET.
9 Additionally, using recoil-frame
covariance analysis between ion images, we demonstrate t
10 We used a new
covariance analysis between statistically spiky broadban
11 patients (set 2) were subjected to sequence
covariance analysis by evaluating the mutual information
12 jection Analysis (CHESPA) and CHEmical Shift
Covariance Analysis (
CHESCA) reveal pathways of alloster
13 etabolic brain imaging combined with spatial
covariance analysis could accurately discriminate patien
14 Regional
covariance analysis demonstrated that internal pallidal
15 Subsequent evolutionary
covariance analysis enabled construction of a model of t
16 This study demonstrates the power of
covariance analysis for investigating single neuron comp
17 A
covariance analysis further revealed a striking reductio
18 Interregional
covariance analysis further showed significant task-rela
19 During recent years, spatial
covariance analysis has been used with (18)F-fluorodeoxy
20 rfaces and sanitary sewer density, and cross-
covariance analysis identified strong positive correlati
21 Finally applying Fluorescence
Covariance Analysis in live cells expressing fluorescent
22 h with a recently published derivative-based
covariance analysis method provides the most reliable es
23 Covariance analysis of data generated by the three techn
24 of cells were resolved from a pixel-by-pixel
covariance analysis of fluctuations in potentiometric fl
25 orable ictal perfusion pattern identified by
covariance analysis of ictal brain perfusion SPECT provi
26 Covariance analysis of interresidue motions shows that t
27 Molecular determinants were identified by
covariance analysis of residue coevolution and structura
28 In Parkinson's disease, spatial
covariance analysis of resting-state metabolic images ha
29 rative mechanism that can be elucidated by a
covariance analysis of sequence data.
30 The
covariance analysis of the data showed that the isomeris
31 Furthermore,
covariance analysis of the ligand with both protein and
32 Spatial
covariance analysis of the most affected hemisphere reve
33 tics, ancestral sequence reconstruction, and
covariance analysis on a curated set of 390 full-length
34 Convergent evidence from
covariance analysis,
path analysis, and linear regressio
35 Indeed,
covariance analysis revealed a gradual augmentation in q
36 This across subject
covariance analysis revealed a region in the right super
37 Covariance analysis revealed a relatively less coordinat
38 The seed region of interest
covariance analysis revealed distinct (18)F-labelled flu
39 Covariance analysis revealed that the dentate gyrus, hip
40 Structural
covariance analysis revealed that the volume of this dor
41 Interregional
covariance analysis revealed that these intracortical ch
42 A multivariate
covariance analysis,
seed partial least squares, reveale
43 The structural
covariance analysis showed that the extent of regional d
44 Analysis of
covariance analysis showed there was no significant infl
45 Covariance analysis suggests a role for the ATPase activ
46 Covariance analysis suggests heterogeneity of both serot
47 However, structural
covariance analysis suggests network-level desynchroniza
48 Covariance analysis supported the hypothesis of changes
49 We use
covariance analysis to identify correlated modular oscil
50 Spatial
covariance analysis was applied to scan data from the co
51 HRMS-NMR
covariance analysis was carried out to correlate the flu
52 Covariance analysis was performed to adjust for relevant
53 Analysis of
covariance analysis was used to investigate if there is
54 Based on genome-wide weighted ancestry
covariance analysis,
we infer that this admixture event
55 The significant contacts revealed by
covariance analysis were further investigated by means o
56 s of covariance and multivariate analysis of
covariance analysis)
were employed with a Tukey-Kramer p
57 We developed a method that combines
covariance analysis with global inference analysis, adop