S1 File - by C. Vijay Reena Durai (14498259)

Subjects:

Representation of better of the two eyes’ monocular FMTs and binocular FMTs. by C. Vijay Reena Durai (14498259)

Subjects:

Fig 1 - by C. Vijay Reena Durai (14498259)

Subjects:

FRET signals in myotubes expressing CFP-CCXXCC and WT CFP. by Dipankar Bhattacharya (485340)

“…(C) Summary of mean pixel intensities of CFP-CCPGCC concatamer (construct 1) expressed in myotubes. (D) WT-CFP (construct 5) transfected myotubes (without the tetracysteine tag) show no change in CFP fluorescence after 1 μM FlAsH loading or after 7.5 mM EDT wash. …”

Hepatic oxylipin profiles in WT and sEH-KO mice. by Ye Zhu (646531)

“…(C), (D): The hepatic levels of 5- through 19-HETE (C) as well as the hepatic 20-HETE levels (D) were not different in WT and sEH-KO mice. …”

Administration of γPGA attenuates Th2 immune responses elicited by the cysteine protease papain through a decrease in basophils. by Hyun Jung Park (116737)

Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network by Umesh M. Kulkarni (10098026)

Renal oxylipin profiles in WT and sEH-KO mice. by Ye Zhu (646531)

“…(C): The renal levels of AA-derived 5- through 19-HETE were not different in WT and sEH-KO mice. …”

Plasma oxylipin profiles in WT and sEH-KO mice. by Ye Zhu (646531)

“…(C): The plasma levels of AA-derived 5- through 19-HETE were not different in WT and sEH-KO mice. …”

NBCe1 and NBCe2 protein and mRNA expression in hRPTCs carrying wild-type (WT) or homozygous variant (HV) <i>SLC4A5</i>. by John J. Gildea (845025)

“…</b> NBCe1 protein is decreased (HV+) in WT <i>SLC4A5</i> hRPTCs (N = 36, *P<0.001 vs VEH, two-way ANOVA, Holm-Sidak test) and HV hRPTCs (N = 48, *P<0.05 vs VEH and ^#P<0.001 vs WT monensin (↑Na⁺), two-way ANOVA, Holm-Sidak test). …”

Model of WT1 variant actions on the LHβ promoter. by Debalina Bagchi (686046)

“…Decreased expression of WT1 (+KTS) would stimulate basal LHβ expression as the suppressor is reduced. …”

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Y86 is critical for SERINC3/5 antagonism by SIVcol Nef. by Dorota Kmiec (5646374)

Presentation_1_Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation.pdf by Rafael Wilms (8858795)

Differentially expressed genes in <i>pgl</i> vs WT. by Jisun Kim (837555)