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1 We classified 40 EGPA patients attending Hiratsuka City Hospi
2 We classified 56 of the 105 distinct NFKB1 variants in 157 in
3 We classified a subset of miRNA binding sites as those that h
4 We classified ADHD using recommended cutoff points for each i
5 We classified children into immunoprophylaxis eligibility gro
6 We classified dynamic changes in the maternal lipidome during
7 We classified genders of all authors as woman, man, or unknow
8 We classified HCV infections in HIV-positive MSM as either do
9 We classified hospitalizations as cancer-related versus non-c
10 We classified mammals into trophic guilds and compared resour
11 We classified mental disorders into ten groups and causes of
12 We classified newly graduated nurses' pre-employment health l
13 We classified p,p'-DDT and p,p'-DDE as "presumed" to be obeso
14 We classified participants as being metabolically unhealthy i
15 We classified participants by HARSP decisions of confirmed, p
16 We classified participants into BMI categories: normal weight
17 We classified patients into three groups according to the HP
18 We classified patients into three groups: patients with steat
19 We classified patients with at least one ECG with a rhythm of
20 We classified positive S. aureus cultures using a hierarchy (
21 We classified problems of asthma patients into biological, ps
22 We classified risk factors according to type and quantified t
23 We classified the desmosomal variants, defined the contributi
24 We classified the different configurations, finding four type
25 We classified the facilities by quartiles (Q; mean patients w
26 We classified the MEG patterns for each press in the sequence
27 We classified TNBCs into four transcriptome-based subtypes: (
28 We classified type 2 diabetes on the basis of self-report, me
31 t pseudokinases are present across all domains of life, and we classified nearly 30,000 eukaryotic, 1500 bacterial, and 2
32 ancer, in whom an assay of 21 genes had been performed, and we classified the clinical risk of recurrence of breast cance
33 nalysis of the tumour specimen after biopsy or surgery, and we classified patients by tumour site, clinical stage (TNM sy
35 We identified OM episodes using coded diagnoses (we classified diagnoses <21 days apart as the same episode).
36 Using kinetic modeling of protein dynamics, we classified the stimulus-dependent changes in protein abund
37 rder to evaluate the clinical implications of the findings, we classified CRC patients of independent data into two group
40 cv 75 m82D) and Nicotiana benthamiana Using deep learning, we classified lamina versus stems with 97.8% accuracy.
46 t to the initial continuous electroencephalography session, we classified intraparenchymal hemorrhage as isolated deep (n
49 factors at the country level and by infection burden, which we classified with the use of the national prevalences of mal
50 ent germline DDX41 variants in 43 unrelated patients, which we classified as causal (n = 21) or unknown significance (n =