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Journal of Biomedical Informatics|March 31, 2025
Scalable and efficient on-chain data management in blockchain for large biomedical dataEric Ni, Elizabeth Knight, Mark Gerstein
Cell Reports Methods|July 27, 2025
Recent advances and future prospects for blockchain in biomedicineEric Ni, Xiangru Tang, Xiao Zhou, et al.
Cell Reports Methods|January 9, 2026
Homomorphic encryption enables privacy preserving polygenic risk scoresElizabeth Knight, Jiaqi Li, Matthew Jensen, et al.
Briefings in Bioinformatics|July 15, 2024
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generationXiangru Tang, Howard Dai, Elizabeth Knight, et al.
Genome Biology|June 28, 2022
Storing and analyzing a genome on a blockchainGamze Gürsoy, Charlotte M Brannon, Eric Ni, et al.
Bioinformatics (Oxford, England)|January 15, 2011
AGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excisionAlexej Abyzov, Mark Gerstein
BMC Bioinformatics|January 13, 2004
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structuresVadim Alexandrov, Mark Gerstein
Proteins|March 30, 2004
A method using active-site sequence conservation to find functional shifts in protein families: application to the enzymes of central metabolism, leading to the identification of an anomalous isocitrate dehydrogenase in pathogensRajdeep Das, Mark Gerstein
Current Opinion in Microbiology|September 29, 2004
Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network predictionRonald Jansen, Mark Gerstein
Bioinformatics (Oxford, England)|July 25, 2024
Representing core gene expression activity relationships using the latent structure implicit in Bayesian networksJiahao Gao, Mark Gerstein
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