A thorough appreciation of the strengths and weaknesses of each technique is critical when choosing the correct method for a specific application or for gauging how best to interpret different sources of data. In addition, the analysis method must be carefully considered, as this choice can ...
The development and proliferation of powerful deep-learning models which are able to process more complex and heterogeneous datasets have provided scientists with new tools to interrogate and interpret the vast reams of data produced by high-throughput omics methods. In this review, we will cover ...
However, analyzing and outputting results in Linux is difficult for most biology scientists. Furthermore, the process steps of the analysis include command line workflows and produce large amounts of data and files that are difficult to perform and interpret. It is therefore quite important to ...