New scCIF framework fuses single-cell multi-omics data for sharper cell clustering
A new open-access framework called scCIF adaptively fuses single-cell multi-omics data and outperformed competing methods on eight public datasets.
A new open-access framework called scCIF adaptively fuses single-cell multi-omics data and outperformed competing methods on eight public datasets.
A six-gene T cell-derived signature built from single-cell transcriptomics stratified hepatocellular carcinoma patients by survival risk in two independent cohorts.
Researchers have derived closed-form, alignment-free estimators that jointly quantify substitution, deletion and insertion rates from k-mer statistics, with concentration guarantees ...
A large-scale bioinformatic survey of the soil and plant-associated bacterium Pseudomonas fluorescens has catalogued thousands of biosynthetic gene clusters scattered ...
A computational study combining transcriptomics, machine learning and single-cell analysis identifies CYP1B1 as a potential functional target of kaempferol in ...
A new deconvolution framework called ESMF uses single-cell reference data, negative binomial noise modeling and dual-validated marker selection to estimate ...
A new deep learning framework called RCNNricePPI predicts rice protein-protein interactions from amino acid sequences, achieving an accuracy of 0.8996 ...
A computational analysis of single-cell RNA sequencing data maps 208 prognosis-linked miRNA-target pairs carried by extracellular vesicles in the hepatocellular ...
A new pipeline called MineGraph streamlines graph pangenome analysis of plant plastid and mitochondrial genomes, with an application to 709 ...
Researchers have introduced cMSEDN, a deterministic method that turns multiscale EDN sequence representations into sequence-specific node embeddings for De Bruijn ...
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© 2025 Scienmag - Science Magazine