Author

Álvaro José García-Tejedor

Universidad Francisco de VitoriaORCID 0000-0001-6458-2618Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Alba Lomas RedondoiD· 1 shared José M. Sánchez VelázqueziD· 1 shared Victor Javier Sanchez-Arevalo LoboiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Alba Lomas RedondoORCID

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1 paper

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

Deep Learning based deconvolution methods: a systematic review

Alba Lomas Redondo, José M. Sánchez Velázquez, Álvaro José García-Tejedor, Victor Javier Sanchez-Arevalo Lobo

This paper reviews deep learning methods for cellular deconvolution, emphasizing the need for high-quality reference profiles and standardized approaches.

5 citations

bulk RNA-seqstatistical model

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