Both data sets included cognitively normal individuals, individuals with mild cognitive impairment and individuals with Alzheimer's disease.
Both data sets included 889 samples from the TCGA provisional study and were retrieved via cBio (Cerami et al. 2012).
Both data sets included 100 COGs [ Tatusov et al. 1997, 2003]) (see supplementary data S1, Supplementary Material online), each represented in at least 36 of the 48 analyzed bacterial clades and in at least five of the six archaeal clades.
Both data sets include approximately 20 features computed from wearable sensors, phone, and online surveys.
Both data sets include four distinct tissue types, i.e., breast, prostate, lung, and colon.
In addition to the classical PB-induced genes (like Cyp2b10, Gsta2, Gstt3) several other genes show consistent upregulation in both data sets (including Orm3, Akr1b7, Lect1, A930034L06Rik, Gadd45b, Prom1, A930034L06Rik, Meig1, Pnliprp1, Wisp1 and Cxcr7).
Both data sets include the true QTN while the latter also includes noise.
Both data sets include genes with one, two or more exons (see supplementary fig. S4, Supplementary Material online).
In addition, 16 curated gene sets demonstrated significant differential connectivity in both data sets, including the matrix metalloproteinases, PPAR alpha sequence targets, and the PUFA synthesis pathway.
In Table 1, we present qualitative and quantitative statistics for both data sets, including the number and distribution of sequences in each sub-group of the recA/RAD51 family.
A comprehensive analysis revealed that both data sets include the down regulation of cytoskelatal tubulin proteins and metabolism-related proteins (ie. glycolipid transfer protein and a pyrophosphatase).
