DeepQA: improving the estimation of single protein model quality with deep belief networks

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: DeepQA: improving the estimation of single protein model quality with deep belief networks ; volume:17 ; number:1 ; day:5 ; month:12 ; year:2016 ; pages:1-9 ; date:12.2016
BMC bioinformatics ; 17, Heft 1 (5.12.2016), 1-9, 12.2016

Classification: Biowissenschaften, Biologie

Creator: Cao, Renzhi

Contributor: Bhattacharya, Debswapna
Hou, Jie
Cheng, Jianlin
SpringerLink (Online service)

DOI: 10.1186/s12859-016-1405-y

URN: urn:nbn:de:1111-201701157143

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 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

Cao, Renzhi
Bhattacharya, Debswapna
Hou, Jie
Cheng, Jianlin
SpringerLink (Online service)

Other Objects (12)

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Abschnitt

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Abschnitt

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Abschnitt

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

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.

DeepQA: improving the estimation of single protein model quality with deep belief networks

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

Understanding and improving robustness and uncertainty estimation in deep learning

A Developmental Approach for Training Deep Belief Networks

Deep Learning Based Scatter Estimation

Data-driven deep density estimation

Data-driven deep density estimation

Improving palliative care with deep learning

Radiography image analysis using cat swarm optimized deep belief networks

Deep belief rule based photovoltaic power forecasting method with interpretability

A new method for enhancer prediction based on deep belief network

Qa- [Qa-]

Cardinality Estimation with Local Deep Learning Models

Deep-float salinity data synthesis for deep ocean state estimation: method and impact

Related objects

Reset password