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CBIL-VHPLI: a model for predicting viral-host protein-lncRNA interactions based on machine learning and transfer learning

This study aimed to develop a machine learning model for predicting protein‒RNA interactions. To achieve this goal, numerous data processing and modeling steps were...

A multibranch and multiscale neural network based on semantic perception for multimodal medical image fusion

This section describes the proposed method for fusing multi-modal medical images, named DUSMIF. Firstly, an overview of the general framework of the method is...

Emergence of SARS-CoV-2 omicron variant JN.1 in Tamil Nadu, India – Clinical characteristics and novel mutations

Clinico-demographic characteristics of the JN.1 cohortThe ongoing SARS-CoV-2 genomic surveillance activities at SPHL have identified the dramatic emergence of the JN.1 variant of omicron...

Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMD

Klein, R., Klein, B., Jensen, S. & Meuer, S. The five-year incidence and progression of age-related maculopathy: The beaver dam eye study. Ophthalmology. 104,...

sCIRCLE – an interactive visual exploration tool for single cell RNA-Seq data

A research team from HIRI and THWS develops a tool for visualizing single-cell data Modern cutting-edge research generates enormous amounts of data, presenting scientists with...

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