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Summary statistics - Scatterplots
Scatterplot view of paired studies. IC50 values are plotted for two paired studies which include at least one shared antibody and virus.
Description: Linear regression equations and correlations calculated using 'cor.test' library in R. Original (i.e. non-log transformed) data were used in the calculations.
Description: Matrix is divided into upper and lower triangular submatrices as follows:
Regression info:
| Study | Min | 1st Quartile | Median | Mean | 3rd Quartile | Max |
|---|---|---|---|---|---|---|
| 8 | 0.005 | 0.049 | 0.2025 | 8.966025 | 2.485 | 50 |
| 5 | 0.01 | 0.0475 | 0.16 | 7.69175 | 1.8075 | 50 |
Equation: IC50_#5 = 0.8438 * IC50_#8 + 0.1265;
Pearson corr: 0.9665; Spearman corr: 0.961
Pearson corr: 0.9665; Spearman corr: 0.961
Description: Linear regression equations and correlations calculated using 'cor.test' library in R. Original (i.e. non-log transformed) data were used in the calculations.
View scatterplot for other paired studies:
| StudyID | Walker 2011 | Chuang 2013 | Huang 2012 | Georgiev 2013 | Scheid 2011 | Liao 2013 | Wu 2010 | Diskin 2011 | Andrabi 2013 | Diskin 2013 | Walker 2009 | Wu 2011 | Falkowska 2014 | Huang 2014 | Doria-Rose 2014 |
| Walker2011 | ----- | 18, 159; 21, 177 | 18, 159; 8, 179 | 18, 159; 21, 80 | 19, 158; 6, 113 | 19, 159; 4, 114 | 19, 156; 6, 183 | 20, 158; 4, 77 | 20, 161; 18, 19 | 20, 158; 6, 113 | 19, 12; 7, 12 | 19, 157; 6, 172 | 19, 158; 3, 111 | 17, 159; 11, 179 | 20, 159; 4, 193 |
| Chuang2013 | 2 ; 4 | ----- | 15, 9; 8, 11 | 6, 97; 21, 0 | 17, 155; 6, 92 | 18, 66; 4, 3 | 18, 80; 6, 89 | 20, 158; 4, 59 | 21, 169; 18, 9 | 20, 154; 6, 91 | 16, 181; 7, 163 | 17, 25; 6, 22 | 20, 154; 3, 89 | 16, 9; 11, 11 | 21, 11; 4, 27 |
| Huang2012 | 2 ; 4 | 6 ; 172 | ----- | 2, 99; 21, 0 | 7, 152; 6, 87 | 7, 66; 4, 1 | 7, 90; 6, 97 | 8, 155; 4, 54 | 8, 171; 18, 9 | 8, 151; 6, 86 | 4, 183; 7, 163 | 7, 18; 6, 13 | 7, 151; 3, 84 | 5, 1; 11, 1 | 8, 4; 4, 18 |
| Georgiev2013 | 2 ; 4 | 15 ; 84 | 6 ; 84 | ----- | 16, 75; 6, 109 | 19, 10; 4, 44 | 16, 44; 6, 150 | 20, 76; 4, 74 | 21, 76; 18, 13 | 20, 75; 6, 109 | 15, 84; 7, 163 | 16, 13; 6, 107 | 20, 75; 3, 107 | 16, 0; 11, 99 | 21, 0; 4, 113 |
| Scheid2011 | 1 ; 5 | 4 ; 26 | 1 ; 31 | 5 ; 9 | ----- | 5, 105; 4, 105 | 5, 58; 6, 130 | 5, 38; 4, 2 | 6, 111; 18, 14 | 5, 4; 6, 4 | 6, 118; 7, 163 | 5, 88; 6, 148 | 6, 6; 3, 4 | 3, 87; 11, 152 | 6, 73; 4, 152 |
| Liao2013 | 1 ; 4 | 3 ; 115 | 1 ; 117 | 2 ; 74 | 1 ; 13 | ----- | 2, 71; 6, 143 | 4, 104; 4, 68 | 4, 110; 18, 13 | 4, 104; 6, 104 | 3, 118; 7, 163 | 3, 15; 6, 75 | 4, 104; 3, 102 | 3, 1; 11, 66 | 4, 0; 4, 79 |
| Wu2010 | 1 ; 7 | 3 ; 101 | 1 ; 93 | 5 ; 40 | 1 ; 60 | 2 ; 47 | ----- | 6, 139; 4, 31 | 6, 179; 18, 10 | 6, 128; 6, 56 | 5, 188; 7, 161 | 3, 90; 6, 78 | 6, 130; 3, 56 | 5, 97; 11, 90 | 6, 91; 4, 98 |
| Diskin2011 | 1 ; 23 | 1 ; 8 | 1 ; 80 | ----- | 4, 75; 18, 14 | 2, 3; 6, 39 | 4, 82; 7, 163 | 4, 55; 6, 151 | 4, 6; 3, 40 | 3, 54; 11, 155 | 4, 48; 4, 163 | ||||
| Andrabi2013 | ----- | 18, 14; 6, 111 | 18, 21; 7, 163 | 18, 13; 6, 170 | 18, 14; 3, 109 | 18, 9; 11, 171 | 18, 9; 4, 185 | ||||||||
| Diskin2013 | 1 ; 27 | 1 ; 9 | 1 ; 114 | 2 ; 79 | ----- | 6, 118; 7, 163 | 6, 87; 6, 147 | 6, 7; 3, 5 | 5, 86; 11, 151 | 6, 72; 4, 151 | |||||
| Walker2009 | 1 ; 151 | 1 ; 2 | ----- | 7, 162; 6, 177 | 6, 163; 3, 116 | 5, 163; 11, 183 | 7, 163; 4, 197 | ||||||||
| Wu2011 | 1 ; 6 | 4 ; 156 | 1 ; 165 | 5 ; 71 | 1 ; 30 | 1 ; 103 | 3 ; 100 | ----- | 6, 147; 3, 85 | 5, 13; 11, 18 | 6, 15; 4, 34 | ||||
| Falkowska2014 | 1 ; 5 | 1 ; 27 | 1 ; 32 | 1 ; 9 | ----- | 2, 84; 11, 151 | 3, 69; 4, 150 | ||||||||
| Huang2014 | 3 ; 4 | 5 ; 172 | 3 ; 182 | 5 ; 84 | 3 ; 31 | 1 ; 117 | 1 ; 93 | 1 ; 28 | 1 ; 32 | 1 ; 165 | 1 ; 32 | ----- | 11, 4; 4, 18 | ||
| Doria-Rose2014 | ----- |
Description: Matrix is divided into upper and lower triangular submatrices as follows:
- Lower triangular matrix: Counts of overlapping Abs & Viruses with links to corresponding scatterplots.
- Upper triangular matrix: Counts of unique, non-overlapping Abs & viruses (Ab, Virus) for row & column-listed study pairs, respectively (Row-listed author; Column-listed author).
www.bNAber.org | 2013 | 
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| Page accessed on June 24, 2018, 3:32 PM | Contact Us
bNAber is a database, analysis, visualization, and data discovery tool for broadly neutralizing HIV-1 antibodies (bNAbs), and seeks to be a vital tool in the search for an AIDS vaccine.
| A member of | Page accessed on June 24, 2018, 3:32 PM | Contact Us
bNAber is a database, analysis, visualization, and data discovery tool for broadly neutralizing HIV-1 antibodies (bNAbs), and seeks to be a vital tool in the search for an AIDS vaccine.