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

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

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

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

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

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

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

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

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

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

Image 8_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

A. Quality of evidence: TOTVA vs. COT. B. Quality of evidence: TOTVA vs. NTET (including robotic approaches). by Huixia Ren (500186)

Values for the calculation of the time-dependent drug concentrations in the system based on observed data found and derived from a variety of sources. by J. Roadnight Sheehan (20141887)

Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

Velocity distribution at different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%. by Weiqing Xu (1279959)

B-factor values of Ca_V3.3 M1425 substitutions. by Yousra El Ghaleb (22075892)

Flow chart of Average Value-based control system. by Gourab Saha (8987405)

Hydrogen volume fraction distribution at different undulation angles (a) 30°; (b) 45°; (c) 60°. by Weiqing Xu (1279959)

Distribution of hydrogen volume fraction at different hydrogen blending ratios (a) 10%; (b) 20%; (c) 30%. by Weiqing Xu (1279959)

Localized schematic of ball valves with different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%. by Weiqing Xu (1279959)

Distribution of hydrogen volume fraction at different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%. by Weiqing Xu (1279959)

iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

Hydrogen volume fraction distribution at different pressures (a) 1 MPa; (b) 3 MPa; (c) 5 MPa. by Weiqing Xu (1279959)

Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)