Skip to main content

Table 1 Top 10 tf-idf words in each cluster

From: Visualizing the knowledge structure and evolution of bioinformatics

Topic1

Topic2

Topic3

Compute: 

mathematical- model

Biology:

Population- dynamics; gene expression; cell cycle; natural selection; population size; immune system; basic reproduction- number;escherichia coli systems biology ndtabular

Compute:

Biology: 

Escherichia coli; gene expression; binding site; e coli; dna replication; binding sites; amino acids; rna polymerase; cell cycle; dna damage

Compute:

Cloud computing; data analysis; data mining; data sets; machine learning; semantic web

biology:

Computational- biology;systems biology; gene expression; molecular biology

Topic4

Topic5

Topic6

Compute:

Biology:

Escherichia coli; e coli; amino acids; gene expression; saccharomyces cerevisiae; mass spectrometry; molecular weight; risk factorspublic health;  heavy metals

Compute:

Biology:

Active site; escherichia coli; binding site; amino acids; circular dichroism; hydrogen bonds; hydrogen bond; cytochrome c; e coli; protein folding

Compute:

Biology:

Mass spectrometry; gene expression; breast cancer; cell lines; dna methylation; transcription- factors; liquid- chromatography; amino acids; oxidative stress; protein spots

Topic7

Topic8

Topic9

Compute:

Biology:

Amino acids; gene expression; x chromosome; skeletal muscle; reading frame; human genome; alternative splicing; breast cancer; linkage- disequilibrium; amino acid- sequence

compute:

Data sets; machine learning; data set; data analysis

biology:

Gene expression; protein structure; supplementary- information; sequence alignment; protein sequences; dna sequences

Compute:

Deep learning; wavelet transform; machine learning; data sets

Biology: 

Magnetic resonance- imaging; magnetic resonance white matter; image- reconstruction visual cortex; breast cancer Â