From: An 8-gene machine learning model improves clinical prediction of severe dengue progression
Dataset | Platform | Year | Reference | Country | Age | Tissue | Samples used in discovery | Total samples used |
---|---|---|---|---|---|---|---|---|
GSE40628 | GPL16021 (Lymphochip) | 2007 | Simmons CP [25] | Vietnam | Adults | WB | 14 | 14 |
GSE18090 | GPL570 (Affymetrix) | 2009 | Nascimento EJ [26] | Brazil | Adults | PBMC | 18 | 18 |
GSE13052 | GPL2700 (Illumina) | 2009 | Long HT [27] | Vietnam | Children | WB | 18 | 18 |
GSE25001 | GPL6104 (Illumina) | 2010 | Hoang LT [28] | Vietnam | Children/adults | WB | 96 | 168 |
GSE17924 | GPL4133 (Agilent) | 2010 | Devignot S [29] | Cambodia | Children | WB | 48 | 48 |
GSE38246 | GPL15615 (Illumina) | 2012 | Popper SJ [30] | Nicaragua | Children | PBMC | 41 | 102 |
GSE43777 | GPL201 (Affymetrix) | 2013 | Sun P [31] | Venezuela | Children/adults | PBMC | 26 | 112 |
GSE43777 | GPL570 (Affymetrix) | 2013 | Sun P [31] | Venezuela | Children/adults | PBMC | 20 | 74 |
GSE51808 | GPL13158 (Affymetrix) | 2014 | Kwissa M [32] | Thailand | Adults | WB | 28 | 28 |
GSE94892 | GPL16791 (Illumina) | 2017 | Banerjee A [14] | India | Children/adults | PBMC | 31 | 31 |
GSE100299 | GPL17586 (Affymetrix) | 2017 | Simon-Lorière E [15] | Cambodia | Children | PBMC | 25 | 25 |
Total | 365 | 638 |