EmExplorer: a database for exploring time activation of gene expression in mammalian embryos

B Hu, L Zheng, C Long, M Song, T Li… - Open …, 2019 - royalsocietypublishing.org
Understanding early development offers a striking opportunity to investigate genetic
disease, stem cell and assisted reproductive technology. Recent advances in high …

PC3T: a signature-driven predictor of chemical compounds for cellular transition

L Han, B Song, P Zhang, Z Zhong, Y Zhang… - Communications …, 2023 - nature.com
Cellular transitions hold great promise in translational medicine research. However,
therapeutic applications are limited by the low efficiency and safety concerns of using …

A multi-objective optimization method for identification of module biomarkers for disease diagnosis

Y Su, X Su, Q Wang, L Zhang - Methods, 2021 - Elsevier
Biomarker identification aims at finding a set of biological indicators that best discriminate
biological samples of different phenotypes. In this paper, we take the module containing the …

Lysine-specific demethylase 1 (LSD1) participate in porcine early embryonic development by regulating cell autophagy and apoptosis through the mTOR signaling …

J Qi, S Zhang, H Qu, Y Wang, Y Dong, H Wei, Y Wang… - Theriogenology, 2024 - Elsevier
Abstract Lysine-specific demethylase 1 (LSD1) stands as the pioneering histone
demethylase uncovered, proficient in demethylating H3K4me1/2 and H3K9me1/2, thereby …

Identification of driver genes based on gene mutational effects and network centrality

YY Tang, PJ Wei, J Zhao, J Xia, RF Cao, CH Zheng - BMC bioinformatics, 2021 - Springer
Background As one of the deadliest diseases in the world, cancer is driven by a few somatic
mutations that disrupt the normal growth of cells, and leads to abnormal proliferation and …

Proteomic Analysis Reveals the Effects of Different Dietary Protein Levels on Growth and Development of Jersey-Yak

G Yang, R Dai, X Ma, C Huang, X Ma, X Li, Y La… - Animals, 2024 - mdpi.com
Simple Summary The aim of our study was to investigate the effects of dietary
supplementation with different protein levels after grazing on growth performance as well as …

A new method based on matrix completion and non-negative matrix factorization for predicting disease-associated miRNAs

Z Gao, YT Wang, QW Wu, L Li, JC Ni… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
Numerous studies have shown that microRNAs are associated with the occurrence and
development of human diseases. Thus, studying disease-associated miRNAs is significantly …

Prediction of essential genes in comparison states using machine learning

J Xie, C Zhao, J Sun, J Li, F Yang… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
Identifying essential genes in comparison states (EGS) is vital to understanding cell
differentiation, performing drug discovery, and identifying disease causes. Here, we present …

[HTML][HTML] Mechanical strain treatment improves nuclear transfer reprogramming efficiency by enhancing chromatin accessibility

Y Chen, R Xu, S Zhou, C Zhao, Z Hu, Y Hua, Y Xiong… - Stem Cell Reports, 2023 - cell.com
Cellular mechanical properties are considered to be important factors affecting cell fate
transitions, but the links between cellular mechanical properties and transition efficiency and …

Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets

C Aouiche, B Chen, X Shang - BMC bioinformatics, 2019 - Springer
Background The mechanism of many complex diseases has not been detected accurately in
terms of their stage evolution. Previous studies mainly focus on the identification of …