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Bioinformatics (Oxford, England)

Showing results (1-10 of 19,037) with videos related to

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Bioinformatics (Oxford, England)|December 8, 2022
TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifsEmmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, et al.
Bioinformatics (Oxford, England)|December 9, 2022
Annotation of biologically relevant ligands in UniProtKB using ChEBIElisabeth Coudert, Sebastien Gehant, Edouard de Castro, et al.
Bioinformatics (Oxford, England)|December 9, 2022
Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer dataRiccardo Scandino, Federico Calabrese, Alessandro Romanel
Bioinformatics (Oxford, England)|December 14, 2022
Benchmarking and integration of methods for deconvoluting spatial transcriptomic dataLulu Yan, Xiaoqiang Sun
Bioinformatics (Oxford, England)|June 28, 2022
A unifying network modeling approach for codon optimizationOya Karaşan, Alper Şen, Banu Tiryaki, et al.
Bioinformatics (Oxford, England)|June 30, 2022
ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networksYuge Wang, Tianyu Liu, Hongyu Zhao
Bioinformatics (Oxford, England)|June 30, 2022
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage dataMatee Ullah, Fazal Hadi, Jiangning Song, et al.
Bioinformatics (Oxford, England)|June 30, 2022
microbiomeMarker: an R/Bioconductor package for microbiome marker identification and visualizationYang Cao, Qingyang Dong, Dan Wang, et al.
Bioinformatics (Oxford, England)|November 23, 2022
An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learningKaibin Huang, Shengyun Huang, Guojing Chen, et al.
Bioinformatics (Oxford, England)|July 5, 2022
MobilityTransformR: an R package for effective mobility transformation of CE-MS dataLiesa Salzer, Michael Witting, Philippe Schmitt-Kopplin
Pageof 1,904

Showing results (1-10 of 19,037) with videos related to

Sort By:
Pageof 1,904
Bioinformatics (Oxford, England)|December 8, 2022
TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifsEmmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, et al.
Bioinformatics (Oxford, England)|December 9, 2022
Annotation of biologically relevant ligands in UniProtKB using ChEBIElisabeth Coudert, Sebastien Gehant, Edouard de Castro, et al.
Bioinformatics (Oxford, England)|December 9, 2022
Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer dataRiccardo Scandino, Federico Calabrese, Alessandro Romanel
Bioinformatics (Oxford, England)|December 14, 2022
Benchmarking and integration of methods for deconvoluting spatial transcriptomic dataLulu Yan, Xiaoqiang Sun
Bioinformatics (Oxford, England)|June 28, 2022
A unifying network modeling approach for codon optimizationOya Karaşan, Alper Şen, Banu Tiryaki, et al.
Bioinformatics (Oxford, England)|June 30, 2022
ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networksYuge Wang, Tianyu Liu, Hongyu Zhao
Bioinformatics (Oxford, England)|June 30, 2022
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage dataMatee Ullah, Fazal Hadi, Jiangning Song, et al.
Bioinformatics (Oxford, England)|June 30, 2022
microbiomeMarker: an R/Bioconductor package for microbiome marker identification and visualizationYang Cao, Qingyang Dong, Dan Wang, et al.
Bioinformatics (Oxford, England)|November 23, 2022
An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learningKaibin Huang, Shengyun Huang, Guojing Chen, et al.
Bioinformatics (Oxford, England)|July 5, 2022
MobilityTransformR: an R package for effective mobility transformation of CE-MS dataLiesa Salzer, Michael Witting, Philippe Schmitt-Kopplin
Pageof 1,904