Top variables selected by machine learning procedure that decrease risk of readmission within 30 days. by Mohsen Bayati (641335)

“…<p>These are variables that receive negative log-odds ratio with largest magnitude.</p><p>1. Obtained from sample standard error for cross-validation odds ratios</p><p>Top variables selected by machine learning procedure that decrease risk of readmission within 30 days.…”

Transient neonatal olfactory deprivation causes a persistent decrease in the addition of CR+ PGCs. A by Yasuko Kato (122938)

“…The numbers of all three types of cells were significantly decreased by the 8^th week of naris occlusion (<b>C</b>, red bars, <i>n</i> = 4) compared with the control group (<b>C</b>, blue bars, <i>n</i> = 5). …”

TUJ-1 labeled geniculate ganglia from <i>Bdnf^−/−/Ntf4^−/−</i> and <i>TrkB^−/−</i> mice decrease in size compared with wild-type mice between E11.5 an... by Da Fei (270309)

“…However, the size of the geniculate ganglion continued to decrease in <i>Bdnf^−/−/Ntf4^−/−</i> (H) and <i>TrkB^−/−</i> mice (I) at E13.5. …”

Chemical, thermal, and proteolytic stability of αB-crystallin proteins. by Aref Baharvand (21713886)

Data_Sheet_1_Soil Properties Interacting With Microbial Metagenome in Decreasing CH4 Emission From Seasonally Flooded Marshland Following Different Stages of Afforestation.docx by Qian Zhang (49333)

Treatment with rPAF-AH decreases CFU numbers in the peritoneal fluid after <i>S.</i> Typhimurium <i>or E. coli</i> administration. by Mariana G. A. Teixeira-da-Cunha (457653)

Raman spectroscopy was employed to investigate the conformational variations between wild-type and p.R163C mutant αB-crystallin proteins. by Aref Baharvand (21713886)

An overview of the ⍺6-⍺7 loop and its surroundings in light of known CMT mutations and conserved positions. by Aleksi Sutinen (10039145)

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Folding and stability of GDAP1 as affected by CMT mutations. by Aleksi Sutinen (10039145)

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Data processing and refinement statistics. by Aleksi Sutinen (10039145)

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Comparisons of the studied mutations to a canonical GST from S. japonicum. by Aleksi Sutinen (10039145)

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Structural bioinformatics analysis of the crystallised CMT variants. by Aleksi Sutinen (10039145)

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KL divergence. by Aleksi Sutinen (10039145)

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Phylogenetic analyses. by Aleksi Sutinen (10039145)

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Structural details for each point mutation studied by X-ray crystallography in this study. by Aleksi Sutinen (10039145)

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Sequence entropy analysis. by Aleksi Sutinen (10039145)

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Entropy analysis for the large data set including the GST dataset. by Aleksi Sutinen (10039145)

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nanoDSF apparent melting points. by Aleksi Sutinen (10039145)

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SAXS analysis. by Aleksi Sutinen (10039145)

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SAXS parameters. by Aleksi Sutinen (10039145)

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