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2 rence procedure through extensive simulations, showing that our approach can deliver accurate estimates of selection coef
3 Unlike the traditional antibody-based immunoassays, our approach is capable of monitoring in-situ activity of LAP
4 stress granule abundance, highlighting the applicability of our approach to facilitate image-based pooled CRISPR screens.
6 it in observational learning remained unknown, which limits our chances to improve intergroup learning.
8 l microbiota of the host, has underscored the weaknesses in our current treatment paradigm for UTIs.
11 MRI was performed in all patients after having presented at our department for thoracic computed tomography for various r
12 eply about scientific progress and the progress of women in our field, we review ongoing challenges and discuss potential
20 continued emergence of antibiotic resistance, together with our increasing understanding of the detrimental effects confe
22 to quantify behavior at scale are impeded by the fact that our methods for measuring human behavior are typically develo
26 ry, in situ hybridization, and a transgenic reporter assay, our results demonstrate a requirement for dnmt1 activity in t
28 +/-8%) water molecules per Ar(1800)(+) ion, consistent with our results from molecular dynamics simulations.
30 e inferred from photo-identification and telemetry studies, our results show no evidence of population structure (non-sig
34 overy and variable cell susceptibility to infection), using our software modules and publicly-available software reposito
40 mble approach to CNN parameter interpretation, we show that our trained network ("AI-TAC") does so by rediscovering ab in
41 entified by histological analysis on muscle biopsies, while our two late DUX4 target gene expression biomarkers associate
42 This finding has implications not only for our understanding of basic mechanisms of iron biology but als
43 C-II binding prediction algorithms, and potentially enhance our understanding of CD4(+) T cell recognition.
45 shing preexisting and de novo immunity will be critical for our understanding of susceptibility to and the natural course
47 unctional genomics and reverse genetics have contributed to our understanding of this important class of microalgae in th
48 field of 'Cancer Systems Immunology' has already influenced our understanding of tumor immunology and immunotherapy.