Publication date
June 2023
DOIAbstract
The machine learning technique is utilized with the transmission fingerprint database for the MoS2 nanochannel-assisted identification and classification of DNA nucleotides
The machine learning technique is utilized with the transmission fingerprint database for the MoS2 nanochannel-assisted identification and classification of DNA nucleotides
International audienceThe development of next generation sequencing (NGS) has greatly enhanced the d...
Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and fo...
The work focuses on a new approach for DNA-chip image processing by using the cellular neural networ...
Abstract—Machine learning is a data processing technology that uses training data to help make judgm...
Machine learning enables a computer to learn a relationship between two assumingly related types of ...
Abstract: DNA Sequencing plays a vital role in the modern research. It allows a large number of mult...
This work deals with the storage of digital data into synthetic DNA. DNA data storage consists an in...
As DNA sequencing technology advances, in-field genome sequencing capabilities are being explored, u...
The decoding of the human genome has been a landmark achievement in the field of genomics, generatin...
Solid-state nanopore-based electrical detection of DNA nucleotides with the quantum tunneling techni...
Abstract Background The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging a...
Storage technology based on DNA is emerging as an information dense and durable medium. Here the aut...
Machine learning is becoming increasingly prevalent. However, in the discipline of Bioinformatics an...
Abstract The study proposes a novel model for DNA sequence classification that combines machine lear...
abstract: This thesis describes several approaches to next generation DNA sequencing via tunneling c...
International audienceThe development of next generation sequencing (NGS) has greatly enhanced the d...
Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and fo...
The work focuses on a new approach for DNA-chip image processing by using the cellular neural networ...
Abstract—Machine learning is a data processing technology that uses training data to help make judgm...
Machine learning enables a computer to learn a relationship between two assumingly related types of ...
Abstract: DNA Sequencing plays a vital role in the modern research. It allows a large number of mult...
This work deals with the storage of digital data into synthetic DNA. DNA data storage consists an in...
As DNA sequencing technology advances, in-field genome sequencing capabilities are being explored, u...
The decoding of the human genome has been a landmark achievement in the field of genomics, generatin...
Solid-state nanopore-based electrical detection of DNA nucleotides with the quantum tunneling techni...
Abstract Background The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging a...
Storage technology based on DNA is emerging as an information dense and durable medium. Here the aut...
Machine learning is becoming increasingly prevalent. However, in the discipline of Bioinformatics an...
Abstract The study proposes a novel model for DNA sequence classification that combines machine lear...
abstract: This thesis describes several approaches to next generation DNA sequencing via tunneling c...
International audienceThe development of next generation sequencing (NGS) has greatly enhanced the d...
Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and fo...
The work focuses on a new approach for DNA-chip image processing by using the cellular neural networ...
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