Showing results (201-210 of 558) with videos related to
Sort By:
Pageof 56
Nucleic Acids Research|June 3, 2022
CircadiOmics: circadian omic web portalMuntaha Samad, Forest Agostinelli, Tomoki Sato, et al.Journal of Neural Engineering|August 5, 2021
An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification taskElnaz Lashgari, Jordan Ott, Akima Connelly, et al.Plos One|September 21, 2011
Modeling of mitochondria bioenergetics using a composable chemiosmotic energy transduction rate law: theory and experimental validationIvan Chang, Margit Heiske, Thierry Letellier, et al.Briefings in Functional Genomics|October 18, 2015
An overview of bioinformatics methods for modeling biological pathways in yeastJie Hou, Lipi Acharya, Dongxiao Zhu, et al.Biorxiv : the Preprint Server for Biology|November 14, 2023
CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM MicrographsAshwin Dhakal, Rajan Gyawali, Liguo Wang, et al.Scientific Data|June 22, 2023
A large expert-curated cryo-EM image dataset for machine learning protein particle pickingAshwin Dhakal, Rajan Gyawali, Liguo Wang, et al.Methods in Molecular Biology (Clifton, N.J.)|October 28, 2016
Assessing Predicted Contacts for Building Protein Three-Dimensional ModelsBadri Adhikari, Debswapna Bhattacharya, Renzhi Cao, et al.Nature Communications|November 15, 2022
Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networksZhiye Guo, Jian Liu, Jeffrey Skolnick, et al.Biorxiv : the Preprint Server for Biology|April 1, 2025
A Labeled Dataset for AI-based Cryo-EM Map EnhancementNabin Giri, Xiao Chen, Liguo Wang, et al.Briefings in Bioinformatics|January 17, 2025
Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challengesAshwin Dhakal, Rajan Gyawali, Liguo Wang, et al.Pageof 56