Publications by authors named "Haolu Zhou"

Article Synopsis
  • Bioinformatics methods for identifying super-enhancers (SEs) vary in accuracy based on feature design, which emphasizes the importance of representing biological sequences effectively.
  • The proposed deep learning model, MuSE, merges two encoding techniques, one-hot and DNA2Vec, to improve SE prediction by leveraging single nucleotide and broader sequence information.
  • MuSE shows significant improvements in SE prediction, outperforming baseline models by enhancing F1 scores, while ensuring that certain features like DNA2Vec's k-mer representation bolster predictions, albeit at a cost to generalization across species.
View Article and Find Full Text PDF

The use of nitrogen fertilizer is a crucial agronomic practice to increase crop output and quality. This study investigated the impact of five nitrogen application levels (0, 60, 135, 210, and 285 kg N/hm) on the physicochemical properties of foxtail millet (FM) starch. Optimal nitrogen application (210 kg N/hm) significantly increased L*, a*, and b* values, water and oil absorption capacity, water solubility, and swelling power of starch.

View Article and Find Full Text PDF

Nitrogen has a critical influence on the yield and quality of proso millet. However, the exact impact of nitrogen on the cooking quality of proso millet is not clear. In this study, the cooking quality and starch properties of two proso millet varieties (waxy-Shaanxi millet [wSM] variety and non-waxy-Shaanxi millet [nSM] variety) were compared and analyzed under nitrogen fertilizer treatment (N150, 150 kg/hm) and a control group without nitrogen application (N0, 0 kg/hm).

View Article and Find Full Text PDF

Selenium (Se) biofortification is an important strategy for reducing hidden hunger by increasing the nutritional quality of crops. However, there is limited metabolomic information on the nutritional quality of Se-enriched mung beans. In this study, physiological assays and LC-MS/MS based widely targeted metabolomics approach was employed to reveal the Se biofortification potential of mung bean by evaluating the effect of Se on mung bean nutraceutical compounds and their qualitative parameters.

View Article and Find Full Text PDF