Bootstrap analysis with 100 resamplings on this data further supports these relationships (Figure 1) and the observation that there are two distinct types of gene encoding α-isopropylmalate synthase in the fungal kingdom.
The three gene expression variables included in this model originate from three distinct types of gene expression signatures: one signature representing early distant metastasis, one representing the relation of the wound healing microenvironment to that of tumor progression, and the third representing classification of breast cancer tumors into molecular subtype.
The results indicate that tissues with ectopic lymphoid structures comprise a distinct type of gene expression that includes a spectrum of genes encoding for adhesion molecules, chemokines, cytokines and their receptors that is required to maintain their highly organized structure.
We looked at two distinct types of networks: gene-gene co-expression networks that were the direct result of applying a threshold on all the CLR scores and transcription factor – gene (TF-gene) regulation networks that were filtered using the set of annotated TFs.
We can therefore define three functionally distinct types of LH genes in marine oxyphotobacteria: (1) the PBS genes of Synechococcus; (2) the pcb genes of Prochlorococcus; and (3) the iron-stress-induced genes (isiA-like) present in some marine Synechococcus.
Phylogenetic analyses of 38 sequences, encoding homologous fragments of C-termini, found 14 distinct types of Tc1-like genes and the real number of different genes is probably much greater.
Applying methods from graph theory to inclusive similarity networks, and using data from more than 3,000 complete viral genomes, we provide the first demonstration that composite genes in viruses are 1) functionally biased, 2) involved in key aspects of the arm race between cells and viruses, and 3) can be classified into two distinct types of composite genes in all viral classes.
Several distinct types of baseline gene expression data exist: tissue, cancer or development profiles (usually absolute expression values), perturbations and diseases (relative values) and time courses and dose responses (absolute or relative values), or a combination of these spatial, temporal and response profiles.
Three functionally distinct types of light-harvesting genes are defined: (1) the phycobilisome (PBS) genes of Synechococcus; (2) the pcb genes of Prochlorococcus; and (3) the iron-stress-induced (isiA) genes present in some marine Synechococcus.
Instead of using the stereotypical nucleosome occupancy patterns and the previously suggested global correlation, we separately applied k-means clustering and LRC techniques to explore in detail the relationship between two distinct types of nucleosomes and gene regulatory properties.
