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Biorxiv : the Preprint Server for Biology|May 13, 2026
How Not to be Seen: Predicting Unseen Enzyme Functions using Contrastive LearningXiang Ma, Parnal Joshi, Iddo Friedberg, et al.
Biorxiv : the Preprint Server for Biology|May 13, 2026
A PLUM Job: Peptide modeLs for Understanding and engineering antiMicrobial therapeuticsPriyanka Banerjee, Iddo Friedberg, Britta Rued, et al.
Database : the Journal of Biological Databases and Curation|May 8, 2025
A longitudinal analysis of function annotations of the human proteome reveals consistently high biasesAn Phan, Parnal Joshi, Claus Kadelka, et al.
BMC Bioinformatics|January 8, 2011
IPRStats: visualization of the functional potential of an InterProScan runRyan J Kelly, David E Vincent, Iddo Friedberg
Bioinformatics (Oxford, England)|February 27, 2015
An event-driven approach for studying gene block evolution in bacteriaDavid C Ream, Asma R Bankapur, Iddo Friedberg
Bioinformatics (Oxford, England)|July 7, 2026
How not to be seen: predicting unseen enzyme functions using contrastive learningXiang Ma, Parnal Joshi, Iddo Friedberg, et al.
Bioinformatics (Oxford, England)|January 29, 2019
Tracing the ancestry of operons in bacteriaHuy N Nguyen, Ashish Jain, Oliver Eulenstein, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
Establishing the reliability of algorithmsLara Mangravite, Sean D Mooney, Iddo Friedberg, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Finding orthologous gene blocks in bacteria: the computational hardness of the problem and novel methods to address itHuy N Nguyen, Alexey Markin, Iddo Friedberg, et al.
Bioinformatics (Oxford, England)|August 28, 2014
The impact of incomplete knowledge on the evaluation of protein function prediction: a structured-output learning perspectiveYuxiang Jiang, Wyatt T Clark, Iddo Friedberg, et al.
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