1 We also used a recently recognized property of the KCNQ2-spec
2 We also used age-stratified and sex-stratified HCV prevalence
3 CKD in rats by an adenine-rich diet or by 5/6 nephrectomy;
we also used AhR(-/-) knockout mice overloaded with indoxyl s
4 We also used ASCL1 ChIPseq to compare the differences in ASCL
5 We also used cardiomyocytes derived from human pluripotent st
6 We also used case registries of prisoners diagnosed with tube
7 We also used clinical observation data from nationally repres
8 We also used combinatorial and single-nucleotide mutagenesis
9 We also used computational modelling to examine the aversive
10 We also used conditional kidney tubule-specific knockout mice
11 We also used CUBAP to identify a significant bias toward decr
12 We also used data for cancer diagnoses made via the 2-week-wa
13 We also used data from 16 patients enrolled at seven of the 3
14 We also used data from automated traffic counters as denomina
15 We also used data on inter-birth intervals and suckling behav
16 cascades triggered by stroke and a role for TLR2 in injury,
we also used direct TLR2 stimulation as an independent injury
17 We also used each possible combination to segment two dataset
18 We also used exploratory graph theory analysis to compare top
19 We also used FIB-SEM, a three-dimensional electron microscopy
20 We also used fluorescent gating to examine the effect of ThT
21 We also used generalized linear models (GLMs) to examine fema
22 We also used GRANAR to generate anatomies not observed experi
23 We also used immunohistochemistry, in situ hybridization, and
24 We also used incoherent AM on two carriers to simulate place
25 We also used infant-specific birth weight genetic scores as i
26 We also used knockout cells and mice to determine the role of
27 We also used knockout mice to investigate the role of TNF rec
28 We also used life table modelling to estimate years-of-life l
29 We also used liquid chromatography-mass spectrometry to chara
30 We also used luciferase assays to experimentally validate sev
31 We also used mitochondria isolated from postmortem brain tiss
32 We also used models trained on each individual to detect scen
33 We also used multinomial logistic regression to identify fact
34 We also used mutagenesis and electrophysiology in Xenopus lae
35 We also used orthotopically injected SU-DIPG-6 and SU-DIPG-17
36 We also used regional association mapping (RAM) to supplement
37 We also used spatially confined placement of assembled CNT ar
38 We also used the device in sleep laboratories and validated t
39 We also used the model to optimize a nonlinear speed scaling
40 We also used the models to estimate selection gradients, whic
41 We also used the pooled sequence data to train a genomic pred
42 We also used the relative coefficient of variation to estimat
43 We also used the yeast and bacterial systems to evaluate the
44 We also used these proteomics data sets to compare the AD bra
45 We also used this method to characterize plaque extent and co
46 We also used transient absorption spectroscopy to study the b
47 We also used two additional tools, EVmutation and Polyphen-2,
48 dition to these more conventional characterization methods,
we also used variable temperature infrared spectroscopy metho
49 We also used whole-genome single-cell DNA sequencing to revea
50 We also used wild-type mice treated with the SULT1E1 inhibito