Co-Authors
This is a "connection" page, showing publications co-authored by MIRJANA MALETIC-SAVATIC and ZHANDONG LIU.
Connection Strength
1.221
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SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra. Bioinformatics. 2023 10 03; 39(10).
Score: 0.241
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NMRQNet: a deep learning approach for automatic identification and quantification of metabolites using Nuclear Magnetic Resonance (NMR) in human plasma samples. bioRxiv. 2023 Mar 02.
Score: 0.231
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SPA-STOCSY: An Automated Tool for Identification of Annotated and Non-Annotated Metabolites in High-Throughput NMR Spectra. bioRxiv. 2023 Feb 22.
Score: 0.231
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Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data. Nat Commun. 2022 Nov 14; 13(1):6912.
Score: 0.226
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Metabolomics of mammalian brain reveals regional differences. BMC Syst Biol. 2018 12 21; 12(Suppl 8):127.
Score: 0.173
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PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. Cell Rep Methods. 2024 Feb 26; 4(2):100707.
Score: 0.062
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PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data. bioRxiv. 2023 Jan 24.
Score: 0.057