TY - JOUR AU - Lai, Fu-Jou AU - Chang, Hong-Tsun AU - Wu, Wei-Sheng PY - 2015 DA - 2015/12/09 TI - PCTFPeval: a web tool for benchmarking newly developed algorithms for predicting cooperative transcription factor pairs in yeast JO - BMC Bioinformatics SP - S2 VL - 16 IS - 18 AB - Computational identification of cooperative transcription factor (TF) pairs helps understand the combinatorial regulation of gene expression in eukaryotic cells. Many advanced algorithms have been proposed to predict cooperative TF pairs in yeast. However, it is still difficult to conduct a comprehensive and objective performance comparison of different algorithms because of lacking sufficient performance indices and adequate overall performance scores. To solve this problem, in our previous study (published in BMC Systems Biology 2014), we adopted/proposed eight performance indices and designed two overall performance scores to compare the performance of 14 existing algorithms for predicting cooperative TF pairs in yeast. Most importantly, our performance comparison framework can be applied to comprehensively and objectively evaluate the performance of a newly developed algorithm. However, to use our framework, researchers have to put a lot of effort to construct it first. To save researchers time and effort, here we develop a web tool to implement our performance comparison framework, featuring fast data processing, a comprehensive performance comparison and an easy-to-use web interface. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-16-S18-S2 DO - 10.1186/1471-2105-16-S18-S2 ID - Lai2015 ER -