Showing 146,701 - 146,720 results of 226,164 for search '(( 5 ((wt decrease) OR (mean decrease)) ) OR ( 10 ((teer decrease) OR (a decrease)) ))', query time: 1.97s Refine Results
  1. 146701

    DataSheet_1_Circulating levels and the bioactivity of miR-30b increase during pubertal progression in boys.docx by Nina Mørup (14457141)

    Published 2023
    “…MKRN3 functions as a pre-pubertal break on the GnRH pulse generator and hypothalamic expression and circulating levels of MKRN3 decrease peri-pubertally. …”
  2. 146702

    Effect of plate washing on the dissociation of ACE inhibitor from ACE. by Sergei M. Danilov (118956)

    Published 2018
    “…Values decreased more than by 20% are highlighted in yellow.…”
  3. 146703
  4. 146704

    Erythrocytes abolished the effect of DEANONOate on platelet aggregation. by Sirada Srihirun (334725)

    Published 2013
    “…<p>(A) Inhibition of platelet aggregation by DEANONOate decreased in the presence of erythrocytes. …”
  5. 146705

    Analysis of hugin neuropeptide function in feeding and locomotion by <i>hugin</i> RNAi. by Andreas Schoofs (588234)

    Published 2014
    “…Fluorescence intensity analysis of hugin antibody staining indicates significant decrease of hugin neuropeptide for HugS3>dTrpA1,HugRNAi1A compared with HugS3>dTrpA1 (antibody staining of all genotypes is shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001893#pbio.1001893.s007" target="_blank">Figure S7</a>). …”
  6. 146706

    Analysis of hugin neuropeptide function in feeding and locomotion by <i>hugin</i> RNAi. by Andreas Schoofs (588234)

    Published 2014
    “…Fluorescence intensity analysis of hugin antibody staining indicates significant decrease of hugin neuropeptide for HugS3>dTrpA1,HugRNAi1A compared with HugS3>dTrpA1 (antibody staining of all genotypes is shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001893#pbio.1001893.s007" target="_blank">Figure S7</a>). …”
  7. 146707

    Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  8. 146708

    Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  9. 146709

    DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  10. 146710

    DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  11. 146711

    DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  12. 146712

    Table2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.XLSX by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  13. 146713

    Image1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.JPEG by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  14. 146714

    Speed-related auditory cortical activity and sensory processing. by Stephen M. Town (3666439)

    Published 2017
    “…Data available at <a href="https://doi.org/10.6084/m9.figshare.4955378.v1" target="_blank">https://doi.org/10.6084/m9.figshare.4955378.v1</a>.…”
  15. 146715

    Low glucose concentration induced 661W cell death. by Martine Emery (215947)

    Published 2011
    “…<p>661W, ARPE19 and Mio-M1 cells were cultured as mentioned in material & <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0021586#s2" target="_blank">methods</a>, then <b>A</b>) cells were incubated at 2 mM glucose for different time periods or for 24 h at different glucose concentrations. …”
  16. 146716

    <i>rhlAB</i> promoter activity during different phases of growth in nutrient limitation batch culture. by Kerry E. Boyle (759216)

    Published 2015
    “…<p>GFP and promoter activity data are from the same growth curves shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004279#pcbi.1004279.g002" target="_blank">Fig 2</a>. …”
  17. 146717

    Data_Sheet_1_Microbial Degradation of Citric Acid in Low Level Radioactive Waste Disposal: Impact on Biomineralization Reactions.docx by Natalie Byrd (10715205)

    Published 2021
    “…Sulfate reduction only occurred in a single microcosm at pH 10. Here, citrate was fully removed from solution, alongside ingrowth of acetate and formate, likely fermentation products. …”
  18. 146718

    Data_Sheet_1_Insightful Backbone Modifications Preventing Proteolytic Degradation of Neurotensin Analogs Improve NTS1-Induced Protective Hypothermia.docx by Santo Previti (4350607)

    Published 2020
    “…Neurotensin (NT), which exerts its effects through activation of two G protein-coupled receptors, namely NTS1 and NTS2, induces a strong and long-lasting decrease in core body temperature after its central administration. …”
  19. 146719

    Data_Sheet_1_Assessing the in vivo ameliorative effects of Lactobacillus acidophilus KLDS1.0901 for induced non-alcoholic fatty liver disease treatment.docx by Yanbo Wang (618744)

    Published 2023
    “…A conspicuous decrease of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in serum was observed after L. acidophilus KLDS1.0901 administration. …”
  20. 146720

    Protective effects of hypercapnic acidosis on Ischemia–reperfusion-induced retinal injury - Fig 3 by Le-Tien Lin (6264473)

    Published 2019
    “…(B)Number of TUNEL-positive cells significantly decreased in both IR-HCA and HCA-IR groups. (C and D) Effects of HCA on the expression of the caspase-3 in the five groups. …”