Briefings in bioinformatics - JoVE Visualize

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Briefings in Bioinformatics|March 1, 2015

Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulationsBernhard Knapp, Samuel Demharter, Reyhaneh Esmaielbeiki, et al.

Briefings in Bioinformatics|March 10, 2015

Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutionsIurie Caraus, Abdulaziz A Alsuwailem, Robert Nadon, et al.

Briefings in Bioinformatics|April 1, 2015

A survey of tools for analysing DNA fingerprintsJónathan Heras, César Domínguez, Eloy Mata, et al.

Briefings in Bioinformatics|April 24, 2023

Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoderJing Jiang, Junlin Xu, Yuansheng Liu, et al.

Briefings in Bioinformatics|April 24, 2023

An automatic immunofluorescence pattern classification framework for HEp-2 image based on supervised learningKechi Fang, Chuan Li, Jing Wang

Briefings in Bioinformatics|April 17, 2023

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactionsJoshua Teitz, Joerg Sander, Hassan Sarker, et al.

Briefings in Bioinformatics|April 17, 2023

Transformer-based anti-noise models for CRISPR-Cas9 off-target activities predictionZengrui Guan, Zhenran Jiang

Briefings in Bioinformatics|April 20, 2023

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a reviewZeinab Sherkatghanad, Moloud Abdar, Jeremy Charlier, et al.

Briefings in Bioinformatics|April 20, 2023

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell levelYan Liu, Guo Wei, Chen Li, et al.

Briefings in Bioinformatics|May 4, 2023

Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learningPablo Acera Mateos, You Zhou, Kathi Zarnack, et al.

Pageof 542

Showing results (1931-1940 of 5,415) with videos related to

Sort By:

Pageof 542

Briefings in Bioinformatics|March 1, 2015

Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulationsBernhard Knapp, Samuel Demharter, Reyhaneh Esmaielbeiki, et al.

Briefings in Bioinformatics|March 10, 2015

Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutionsIurie Caraus, Abdulaziz A Alsuwailem, Robert Nadon, et al.

Briefings in Bioinformatics|April 1, 2015

A survey of tools for analysing DNA fingerprintsJónathan Heras, César Domínguez, Eloy Mata, et al.

Briefings in Bioinformatics|April 24, 2023

Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoderJing Jiang, Junlin Xu, Yuansheng Liu, et al.

Briefings in Bioinformatics|April 24, 2023

An automatic immunofluorescence pattern classification framework for HEp-2 image based on supervised learningKechi Fang, Chuan Li, Jing Wang

Briefings in Bioinformatics|April 17, 2023

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactionsJoshua Teitz, Joerg Sander, Hassan Sarker, et al.

Briefings in Bioinformatics|April 17, 2023

Transformer-based anti-noise models for CRISPR-Cas9 off-target activities predictionZengrui Guan, Zhenran Jiang

Briefings in Bioinformatics|April 20, 2023

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a reviewZeinab Sherkatghanad, Moloud Abdar, Jeremy Charlier, et al.

Briefings in Bioinformatics|April 20, 2023

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell levelYan Liu, Guo Wei, Chen Li, et al.

Briefings in Bioinformatics|May 4, 2023

Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learningPablo Acera Mateos, You Zhou, Kathi Zarnack, et al.

Pageof 542