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Abram Magner

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Information Theory|September 21, 2019
Lossless Compression of Binary Trees with Correlated Vertex NamesAbram Magner, Krzysztof Turowski, Wojciech Szpankowski
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|September 26, 2017
A Study of the Boltzmann Sequence-Structure ChannelAbram Magner, Daisuke Kihara, Wojciech Szpankowski
Scientific Reports|February 24, 2015
On the origin of protein superfamilies and superfoldsAbram Magner, Wojciech Szpankowski, Daisuke Kihara
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications|September 5, 2017
Fundamental Bounds for Sequence Reconstruction from Nanopore SequencersAbram Magner, Jarosław Duda, Wojciech Szpankowski, et al.
Scientific Reports|March 1, 2019
Inferring Temporal Information from a Snapshot of a Dynamic NetworkJithin K Sreedharan, Abram Magner, Ananth Grama, et al.
Bioinformatics (Oxford, England)|December 28, 2019
A deep learning architecture for metabolic pathway predictionMayank Baranwal, Abram Magner, Paolo Elvati, et al.
BMC Bioinformatics|September 10, 2022
Struct2Graph: a graph attention network for structure based predictions of protein-protein interactionsMayank Baranwal, Abram Magner, Jacob Saldinger, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Information Theory|September 21, 2019
Lossless Compression of Binary Trees with Correlated Vertex NamesAbram Magner, Krzysztof Turowski, Wojciech Szpankowski
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|September 26, 2017
A Study of the Boltzmann Sequence-Structure ChannelAbram Magner, Daisuke Kihara, Wojciech Szpankowski
Scientific Reports|February 24, 2015
On the origin of protein superfamilies and superfoldsAbram Magner, Wojciech Szpankowski, Daisuke Kihara
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications|September 5, 2017
Fundamental Bounds for Sequence Reconstruction from Nanopore SequencersAbram Magner, Jarosław Duda, Wojciech Szpankowski, et al.
Scientific Reports|March 1, 2019
Inferring Temporal Information from a Snapshot of a Dynamic NetworkJithin K Sreedharan, Abram Magner, Ananth Grama, et al.
Bioinformatics (Oxford, England)|December 28, 2019
A deep learning architecture for metabolic pathway predictionMayank Baranwal, Abram Magner, Paolo Elvati, et al.
BMC Bioinformatics|September 10, 2022
Struct2Graph: a graph attention network for structure based predictions of protein-protein interactionsMayank Baranwal, Abram Magner, Jacob Saldinger, et al.
Pageof 1