Junyan Lu

Junyan Lu

@junyanlu.bsky.social

Group leader at University Hospital Heidelberg Former Postdoc at EMBL Bioinformatician, Data scientists Computational mass-spectrometry, multi-omics, and precision oncology. He/Him https://lu-group-ukhd.github.io/

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Junyan Lu
@junyanlu.bsky.social

🚀 Excited to share our new preprint: msBayesImpute - A Versatile Framework for Addressing Missing Values in Biomedical Mass Spectrometry Proteomics Data 👉 Improves imputation accuracy, normalization, and differential expression detection 📝https://www.biorxiv.org/content/10.1101/2025.10.02.679746v1

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Junyan Lu
@junyanlu.bsky.social

🚀 Excited to share our new preprint: msBayesImpute - A Versatile Framework for Addressing Missing Values in Biomedical Mass Spectrometry Proteomics Data 👉 Improves imputation accuracy, normalization, and differential expression detection 📝https://www.biorxiv.org/content/10.1101/2025.10.02.679746v1

Junyan Lu
@junyanlu.bsky.social

Missing values in proteomics are often not missing at random (MNAR). Existing methods either assume MAR or oversimplify MNAR. 💡 msBayesImpute learns protein-specific dropout curves directly from the data using Bayesian matrix factorization + probabilistic dropout models.

Junyan Lu
@junyanlu.bsky.social

Across synthetic, semi-synthetic, and experimental serial dilution datasets, msBayesImpute consistently: ✅ Achieved the lowest imputation error ✅ Improved sample-wise normalization ✅ Delivered the highest accuracy in DE analysis across 9 methods

Junyan Lu
@junyanlu.bsky.social

🔬 PhD Position in Bioinformatics! Join my group at Heidelberg University (lu-group-ukhd.github.io) to study AML dormancy & therapy resistance using multi-omics & single-cell data. 👉Apply or share: www.jobvector.de/job/bioinfor...

jobvector.dePhD Student Bioinformatics, Computational Biology (m/f/d)Analyze bulk and single-cell multi-omics data generated from in vivo AML models Curate and integrate public datasets (eg scRNA-seq) to derive prior knowledge on AML dormancy Develop and apply integrat...

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