From: Network analysis for estimating standardization trends in genomics using MEDLINE
Modularity 0 | M1 | M2 | M3 | ||||
Keyword | PageRank | Keyword | PageRank | Keyword | PageRank | Keyword | PageRank |
genome | 0.0167 | Gene | 0.0244 | nano gram | 0.0159 | WGS | 0.0087 |
SNP | 0.0148 | mRNA | 0.0067 | tumor | 0.0105 | Escherichia | 0.0084 |
disease | 0.0128 | qPCR | 0.0066 | therapy | 0.0076 | bacteria | 0.0061 |
allele | 0.0119 | microarray | 0.0052 | EGFR | 0.0056 | pathogen | 0.0053 |
clinician | 0.0097 | Arabidopsis | 0.0048 | IHC | 0.0043 | Mycobacterium | 0.0051 |
genomics | 0.0084 | geNorm | 0.0048 | KRAS | 0.0041 | MLST | 0.0047 |
Illumina | 0.0075 | gene normalization | 0.0047 | NSCLC | 0.0041 | NCBI | 0.0039 |
Bayesian | 0.0072 | NormFinder | 0.0045 | targeted therapy | 0.0040 | MiSeq | 0.0038 |
genetics | 0.0058 | cDNA | 0.0042 | amplicon | 0.0037 | Pseudomonas | 0.0038 |
bioinformatics | 0.0058 | miRNA | 0.0035 | tumor DNA | 0.0037 | Streptococcus | 0.0037 |
M4 | M5 | M6 | M7 | ||||
Keyword | PageRank | Keyword | PageRank | Keyword | PageRank | Keyword | PageRank |
CpG | 0.0053 | rRNA | 0.0042 | protein | 0.0152 | diagnosis | 0.0077 |
WHO | 0.0051 | nucleotide | 0.0038 | biomarker | 0.0095 | CNV | 0.0056 |
DNA methylation | 0.0040 | GenBank | 0.0037 | proteomics | 0.0087 | genomic hybridization | 0.0054 |
methylation | 0.0037 | codon | 0.0036 | Algorithm | 0.0075 | genomic DNA | 0.0047 |
MGMT | 0.0036 | genotyping | 0.0033 | Peptide | 0.0063 | STR | 0.0032 |
inhibitor | 0.0036 | mitochondrial genome | 0.0031 | Database | 0.0060 | chromosome | 0.0031 |
AML | 0.0036 | mtDNA | 0.0031 | knowledge | 0.0047 | BAC | 0.0030 |
ROC | 0.0034 | phylogenetic | 0.0031 | reproducibility | 0.0046 | aCGH | 0.0029 |
TMZ | 0.0032 | tRNA | 0.0031 | FDR | 0.0040 | MLPA | 0.0028 |
IDH | 0.0031 | RNA | 0.0029 | measurement | 0.0040 | Haplotype | 0.0028 |