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TULIP - a Transformer based Unsupervised Language model for Interacting Peptides and T-cell receptors that generalizes to unseen epitopes biorxiv.org/content/10.1101/20

A novel machine learning algorithm picks proteome signature to specifically identify cancer exosomes biorxiv.org/content/10.1101/20

Random, de novo and conserved proteins: How structure and disorder predictors perform differently biorxiv.org/content/10.1101/20

Scalable and efficient DNA sequencing analysis on different compute infrastructures aiding variant discovery biorxiv.org/content/10.1101/20

A Template for Translational Bioinformatics: Facilitating Multimodal Data Analyses in Preclinical Models of Neurological Injury biorxiv.org/content/10.1101/20

Microenvironment of metastatic site reveals key predictors of PD-1 blockade response in renal cell carcinoma biorxiv.org/content/10.1101/20

Zero-Shot Transfer of Protein Sequence Likelihood Models to Thermostability Prediction biorxiv.org/content/10.1101/20

Contextualizing protein representations using deep learning on protein networks and single-cell data biorxiv.org/content/10.1101/20

Scalable querying of human cell atlases via a foundational model reveals commonalities across fibrosis-associated macrophages biorxiv.org/content/10.1101/20

PhageScanner, a flexible machine learning pipeline for automated bacteriophage genomic and metagenomic feature annotation biorxiv.org/content/10.1101/20

Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques biorxiv.org/content/10.1101/20

Towards Modular Engineering of Cell Signalling: Topographically-Textured Microparticles Induce Osteogenesis via Activation of Canonical Hedgehog Signalling biorxiv.org/content/10.1101/20

Response Surface Methodology-Based High-Throughput BioLector Fermentation Screening of Rosetta-2 for Enhanced Production of Insulin Variant: Towards Improved Production Efficiency biorxiv.org/content/10.1101/20

A cautionary note on the use of N-acetylcysteine as a reactive oxygen species antagonist to assess copper mediated cell death. biorxiv.org/content/10.1101/20

The activator domain of bacterial collagenases drives collagen recognition, unwinding and processing biorxiv.org/content/10.1101/20

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