Patients with high baseline gut richness and diversity have significantly greater decreases in diversity over time. by Molly B. El Alam (10231830)

Radiation can decrease the expression of the SCFAs in colon contents. by Liying Zhang (102453)

Studies exploring a relationship between <i>Shigella</i> infection and decreased linear growth/stunting or growth measures in young children and other relevant outcomes. by Karoun H. Bagamian (8911211)

Lens profiles as Ez (orange lines) force was increased and Az and Pz (green lines) forces were decreased. by Ronald A. Schachar (16674576)

Normalized synergy increased with greater recurrence and decreased with greater feedback. by Samantha P. Sherrill (11114128)

Receiver entropy decreased with greater recurrence and increased with greater feedback. by Samantha P. Sherrill (11114128)

Decreased presence of tubulin-GFP at axonal MTs in a pulse chase experiment suggests changes in MT replenishment with age. by Pilar Okenve-Ramos (18150546)

19606 decreases the luminal pH of the ACV during infection. by Jesus S. Distel (11250759)

Large play kit. by Calli Naish (17125111)

The percentages of genes with largely changed expression after AdNKX2-1 infection. by Yuko Ito (1976692)

Subjects:

NK cells are activated, proliferating and decreased in frequency in peripheral blood of HFRS patients. by Marina García (694440)

Markers of differentiation are increased in NSCs and markers of pluripotency are decreased. by Natalya A. Ortolano (10291721)

Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

“…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”

Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 5_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”