PathExpSurv: pathway expansion for explainable survival analysis and disease gene discovery [0.03%]
路径扩展的生存分析解释及疾病基因发现
Zhichao Hou,Jiacheng Leng,Jiating Yu et al.
Zhichao Hou et al.
Background: In the field of biology and medicine, the interpretability and accuracy are both important when designing predictive models. The interpretability of many machine learning models such as neural networks is stil...
Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data [0.03%]
基于相似性的变分自动编码器在单细胞RNA测序数据非线性降维中的应用研究
Gwangwoo Kim,Hyonho Chun
Gwangwoo Kim
Background: Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying o...
G-Aligner: a graph-based feature alignment method for untargeted LC-MS-based metabolomics [0.03%]
基于图的特征对齐方法用于非靶向液相色谱-质谱代谢组学（G-Aligner）
Ruimin Wang,Miaoshan Lu,Shaowei An et al.
Ruimin Wang et al.
Background: Liquid chromatography-mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature...
Orly Avraham,Tomer Tsaban,Ziv Ben-Aharon et al.
Orly Avraham et al.
Background: Determining a protein's quaternary state, i.e. the number of monomers in a functional unit, is a critical step in protein characterization. Many proteins form multimers for their activity, and over 50% are est...
A novel two-way rebalancing strategy for identifying carbonylation sites [0.03%]
一种新颖的双向平衡策略，用于鉴定羰基化位点
Linjun Chen,Xiao-Yuan Jing,Yaru Hao et al.
Linjun Chen et al.
Background: As an irreversible post-translational modification, protein carbonylation is closely related to many diseases and aging. Protein carbonylation prediction for related patients is significant, which can help cli...
Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP [0.03%]
基于多判别器WGAN-GP的基因表达数据增强方法(MDWGAN-GP)
Rongyuan Li,Jingli Wu,Gaoshi Li et al.
Rongyuan Li et al.
Background: Although gene expression data play significant roles in biological and medical studies, their applications are hampered due to the difficulty and high expenses of gathering them through biological experiments....
DG-Affinity: predicting antigen-antibody affinity with language models from sequences [0.03%]
基于序列的语言模型预测抗原抗体亲和力
Ye Yuan,Qushuo Chen,Jun Mao et al.
Ye Yuan et al.
Background: Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer ...
Xin Feng,Yihuai Cai,Ruihao Xin
Xin Feng
Background: Diabetes is a metabolic disorder usually caused by insufficient secretion of insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated blood sugar levels in patients. Pati...
Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability [0.03%]
统计建模量化FoldX预测的蛋白质折叠和结合稳定性的不确定性
Yesol Sapozhnikov,Jagdish Suresh Patel,F Marty Ytreberg et al.
Yesol Sapozhnikov et al.
Background: Computational methods of predicting protein stability changes upon missense mutations are invaluable tools in high-throughput studies involving a large number of protein variants. However, they are limited by ...
Irena Roterman,Katarzyna Stapor,Leszek Konieczny
Irena Roterman
Background: Recently, significant progress has been made in the field of protein structure prediction by the application of artificial intelligence techniques, as shown by the results of the CASP13 and CASP14 (Critical As...