Showing 146,361 - 146,380 results of 226,161 for search '(( 5 ((nm decrease) OR (mean decrease)) ) OR ( 10 ((nn decrease) OR (a decrease)) ))', query time: 2.34s Refine Results
  1. 146361
  2. 146362

    Randomized, Controlled Trial of Therapy Interruption in Chronic HIV-1 Infection by Emmanouil Papasavvas (5406)

    Published 2013
    “…</p> <p>There was no difference between the groups in time to viral rebound during the open-ended TI (continuous therapy/single TI, median [interquartile range] = 4 [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0010064#pmed-0010064-b01">1</a>–<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0010064#pmed-0010064-b08">8</a>] wk, <em>n</em> = 21; repeated TI, median [interquartile range] = 5 [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0010064#pmed-0010064-b04">4</a>–<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0010064#pmed-0010064-b08">8</a>] wk, <em>n</em> = 21; <em>p</em> = 0.36). …”
  3. 146363

    Overexpression of Smad7 in airway epithelium alleviates allergic inflammation and airway remodeling. by Xiaolin Luo (228775)

    Published 2010
    “…Note the peribronchial fibrosis was decreased in CC10-Smad7 mice. (E) Reduced OVA-specific IgE concentration in CC10-Smad7 mice. …”
  4. 146364

    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. …”
  5. 146365
  6. 146366

    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. …”
  7. 146367

    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>). …”
  8. 146368

    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>). …”
  9. 146369

    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. …”
  10. 146370

    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. …”
  11. 146371

    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. …”
  12. 146372

    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. …”
  13. 146373

    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. …”
  14. 146374

    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. …”
  15. 146375

    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. …”
  16. 146376

    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>.…”
  17. 146377

    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. …”
  18. 146378

    Full-length AKAP13 mRNA levels are reduced by the gene-trap events. by Matthew J. Spindler (407529)

    Published 2013
    “…<p>(A) TaqMan gene expression assays were used to measure the expression of AKAP13 transcripts at the indicated exon-exon junctions (E4-5, Brx-9, & E37-38). …”
  19. 146379

    <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>. …”
  20. 146380

    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. …”