Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data ; volume:13 ; number:1 ; day:26 ; month:9 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (26.9.2023), 1-13, 12.2023

Creator: Montemurro, Alessandro
Povlsen, Helle Rus
Jessen, Leon Eyrich
Nielsen, Morten

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-43048-3

URN: urn:nbn:de:101:1-2024020907421346693127

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

Last update: 15.08.2025, 7:30 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

Montemurro, Alessandro
Povlsen, Helle Rus
Jessen, Leon Eyrich
Nielsen, Morten
SpringerLink (Online service)

Other Objects (12)

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Hochschulschrift

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Hochschulschrift

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Hochschulschrift

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Hochschulschrift

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Hochschulschrift

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Hochschulschrift

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

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.

Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

Denoising PCR-amplified metagenome data

Prony Filtering of Seismic Data

Wavelet filtering of chaotic data

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

A statistical filtering method for denoising of micro-force measurements

Vibrator Data Denoising Based on Fractional Wavelet Transform

Denoising large-scale biological data using network filters

Understanding filtering on the sphere : experiences from filtering GRACE data

Noise filtering for big data analytics

Data Quality Bench-Marking for High Resolution Bragg Data

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Simultaneous Denoising and Heterogeneity Learning for Time Series Data

Related objects

Reset password