Table 1.
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 |