Generative aptamer discovery using RaptGen

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2662-8457

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Generative aptamer discovery using RaptGen ; volume:2 ; number:6 ; day:2 ; month:6 ; year:2022 ; pages:378-386 ; date:6.2022
Nature computational science ; 2, Heft 6 (2.6.2022), 378-386, 6.2022

Creator: Iwano, Natsuki
Adachi, Tatsuo
Aoki, Kazuteru
Nakamura, Yoshikazu
Hamada, Michiaki

Contributor: SpringerLink (Online service)

DOI: 10.1038/s43588-022-00249-6

URN: urn:nbn:de:101:1-2022081601381129505133

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Iwano, Natsuki
Adachi, Tatsuo
Aoki, Kazuteru
Nakamura, Yoshikazu
Hamada, Michiaki
SpringerLink (Online service)

Other Objects (12)

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Generative aptamer discovery using RaptGen

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

The application of Aptamer in biomarker discovery

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation

High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Developing aptamer probes for acute myelogenous leukemia detection and surface protein biomarker discovery

Data-driven discovery of 2D materials by deep generative models

GEN: highly efficient SMILES explorer using autodidactic generative examination networks

GenEpi: gene-based epistasis discovery using machine learning

Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

Aptamer‐Mediated Reversible Transactivation of Gene Expression by Light

Related objects

Reset password