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BMC Genomics
|
January 30, 2014
Combinatorial epigenetic patterns as quantitative predictors of chromatin biology
Marcin Cieślik, Stefan Bekiranov
Biodata Mining
|
December 1, 2015
Genome-wide predictors of NF-κB recruitment and transcriptional activity
Marcin Cieślik, Stefan Bekiranov
Biomolecules
|
November 11, 2022
Generalization Performance of Quantum Metric Learning Classifiers
Jonathan Kim, Stefan Bekiranov
Plos One
|
December 19, 2013
The network architecture of the Saccharomyces cerevisiae genome
Stephen A Hoang, Stefan Bekiranov
Bioinformatics (Oxford, England)
|
August 4, 2023
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq
Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang
BMC Research Notes
|
August 13, 2011
Quantification of histone modification ChIP-seq enrichment for data mining and machine learning applications
Stephen A Hoang, Xiaojiang Xu, Stefan Bekiranov
Quantum Machine Intelligence
|
September 4, 2020
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne
Kunal Kathuria, Aakrosh Ratan, Michael McConnell, et al.
Scientific Reports
|
January 5, 2017
RNA synthesis is associated with multiple TBP-chromatin binding events
Hussain A Zaidi, David T Auble, Stefan Bekiranov
Nucleic Acids Research
|
August 28, 2009
Yeast genome analysis identifies chromosomal translocation, gene conversion events and several sites of Ty element insertion
Yoshiyuki Shibata, Ankit Malhotra, Stefan Bekiranov, et al.
Hormones and Behavior
|
October 20, 2010
Epigenetic methodologies for behavioral scientists
Danielle S Stolzenberg, Patrick A Grant, Stefan Bekiranov
Page
of 9
Search research articles
Search
Showing results (1-10 of 90) with videos related to
Sort By:
Page
of 9
BMC Genomics
|
January 30, 2014
Combinatorial epigenetic patterns as quantitative predictors of chromatin biology
Marcin Cieślik, Stefan Bekiranov
Biodata Mining
|
December 1, 2015
Genome-wide predictors of NF-κB recruitment and transcriptional activity
Marcin Cieślik, Stefan Bekiranov
Biomolecules
|
November 11, 2022
Generalization Performance of Quantum Metric Learning Classifiers
Jonathan Kim, Stefan Bekiranov
Plos One
|
December 19, 2013
The network architecture of the Saccharomyces cerevisiae genome
Stephen A Hoang, Stefan Bekiranov
Bioinformatics (Oxford, England)
|
August 4, 2023
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq
Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang
BMC Research Notes
|
August 13, 2011
Quantification of histone modification ChIP-seq enrichment for data mining and machine learning applications
Stephen A Hoang, Xiaojiang Xu, Stefan Bekiranov
Quantum Machine Intelligence
|
September 4, 2020
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne
Kunal Kathuria, Aakrosh Ratan, Michael McConnell, et al.
Scientific Reports
|
January 5, 2017
RNA synthesis is associated with multiple TBP-chromatin binding events
Hussain A Zaidi, David T Auble, Stefan Bekiranov
Nucleic Acids Research
|
August 28, 2009
Yeast genome analysis identifies chromosomal translocation, gene conversion events and several sites of Ty element insertion
Yoshiyuki Shibata, Ankit Malhotra, Stefan Bekiranov, et al.
Hormones and Behavior
|
October 20, 2010
Epigenetic methodologies for behavioral scientists
Danielle S Stolzenberg, Patrick A Grant, Stefan Bekiranov
Page
of 9