GCs imaged from n = 2 biological replicates from independent in utero electroporations.
92, 103 and 84 GCs imaged for Rack1, Rplp0 and Ppib probes, respectively, from n = 4 biological replicates from independent in utero electroporations.
83 GCs imaged for mTOR, 47 for LARP1, 42 for LAMP1, 49 for TSC1, 26 for raptor, and 30 for RICTOR, from a minimum of n = 3 biological replicates from independent in utero electroporations.
Mathematically, suppose the nth column of a (GCtimes GC) image has (kappa _n) number of peaks.
We propose peak topography maps that extend individual ((GC times GC)) peak analysis beyond the well-known target peaks that dominate the ((GC times GC)) image, and present techniques for interpreting ((GC times GC)) topography that provide nuanced quantitative peak-based comparisons between ((GC times GC)) images.
Range of considered peak summits (highest:lowest) = 14.53:1 Fig. 3 a The three-dimensional view of (GCtimes GC) image of crude oil sample from Eugene Island, Gulf of Mexico, about 50 miles southwest of MW, the oil source of the Deepwater Horizon disaster.
In particular, PCA analysis projects the (GCtimes GC) image along the main directions of data variance and therefore, is well-suited to application scenarios where the incentive is dimensionality reduction and compound-agnostic comparison between weakly correlated sources.
Fig. 1 a The three-dimensional view of detailed topography of biomarker region (hopanes and steranes) within (GCtimes GC) image of crude oil pre-spill sample from MW, site of Deepwater Horizon spill disaster, Gulf of Mexico, 2010.
Thus the [q, m]-th element of the PTM matrix with node value (eta ={p,m,n}) stores the qth compound with peak height p, eluting along the second dimension with peak location [n, m] in the (GCtimes GC) image.
Therefore, the problem of comparing two (GCtimes GC) image, like (I_{test}) and (I_{ref}) will turn into the problem of comparing the nodes at the same location in their PTM representation matrices.
