Yifeng Li

Z-Hunt-DP: accelerating thermodynamic Z-DNA prediction with dynamic programming

Z-Hunt-DP improves Z-DNA prediction by using dynamic programming to reduce computational complexity and achieve faster, more accurate results.

DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design

This paper introduces DAPTEV, an AI framework for designing aptamers targeting the SARS-CoV-2 spike protein, showing it can generate structurally complex aptamers with strong binding affinities.

YeastNet: Deep Learning Enabled Accurate Segmentation of Budding Yeast Cells in Bright-field Microscopy

YeastNet improves yeast cell segmentation in bright-field microscopy using a U-Net model, outperforming existing tools and providing a Python package for automated analysis.

Strategy in wheat-Fusarium dual-genome RNA-seq data processing

This study compares alignment strategies for dual-genome RNA-seq data from wheat and Fusarium, finding that combo-genome alignment improves mapping quality.

Differential expression feature extraction (DEFE) and its application in RNA-seq data analysis

The paper introduces DEFE, a method to extract differential expression patterns from RNA-seq data, and applies it to identify genes associated with wheat resistance to Fusarium head blight.

Enter the matrix: factorization uncovers knowledge from omics

This paper reviews matrix factorization applications for systems-level omics analysis, highlighting their ability to uncover biological knowledge from high-dimensional data.