{Reference Type}: Journal Article
{Title}: Python for gene expression.
{Author}: Bystrykh L;Bystrykh L;
{Journal}: F1000Res
{Volume}: 10
{Issue}: 0
{Year}: 2021
暂无{DOI}: 10.12688/f1000research.53842.1
{Abstract}: Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language. Here we explain possible reasons for such dominance of R in gene expression data. Next, we discuss the prospects for Python to become competitive in this area of research in coming years. We indicate that Python can be used already in a field of a single cell differential gene expression. We pinpoint still missing parts in Python and possibilities for improvement.