#4 · Genomics
Internal ground truths benchmark RNA-seq transcript and expression inference tools
The dominant thread is benchmarking of computational tools that reconstruct transcript structure or quantify expression from RNA-seq data. TUSCO evaluates long-read transcriptome reconstruction using a curated set of single-isoform genes as endogenous ground truth. CATS assesses transcriptome assembly quality through reference-free and reference-based pipelines, benchmarked on 1056 simulated and public RNA-seq datasets. CrossFilt addresses a distinct error source by retaining only reciprocally mapping reads across primate genomes, reducing alignment bias in cross-species expression inference. What is new is the reliance on internal reference standards and multi-pipeline assessment to judge quantification and assembly accuracy. Pan1C and Verticall address pangenome graphs and bacterial recombination, respectively, and do not share this focus.
Preprints
Regional prediction of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients
Transport-based morphometry of admission CT hematomas, with regional linear models, predicts expansion (validation AUROC 0.787).
NeCS-Flow: Necrosis-Guided Contrast-Enhanced MRI Synthesis with Rectified-Flow Refinement
NeCS-Flow: deep learning synthesis of gadolinium-free post-contrast glioma T1w MRI using necrotic scaling and rectified-flow refinement.
Estimating glioblastoma migration-to-proliferation ratio from single time-point MRI data via radial density distribution
Introduces a 1D reaction-diffusion model fit to radial tumor density from MRI segmentations to estimate glioblastoma migration-to-proliferation ratio, linked…
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