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Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
In Briefings in bioinformatics
Wang Yongtian, Liu Xinmeng, Shen Yewei, Song Xuerui, Wang Tao, Shang Xuequn, Peng Jiajie
2023-Feb-27
circRNA, collaborative deep learning, disease, multi-view functional annotation

Machine Learning Models for Predicting Molecular UV-Vis Spectra with Quantum Mechanical Properties.
In Journal of chemical information and modeling
McNaughton Andrew D, Joshi Rajendra P, Knutson Carter R, Fnu Anubhav, Luebke Kevin J, Malerich Jeremiah P, Madrid Peter B, Kumar Neeraj
2023-Feb-27
A Schema for Digitized Surface Swab Site Metadata in Open-Source DNA Sequence Databases.
In mSystems
Feng Jingzhang, Daeschel Devin, Dooley Damion, Griffiths Emma, Allard Marc, Timme Ruth, Chen Yi, Snyder Abigail B
2023-Feb-27
epidemiology, foodborne pathogen, genomic surveillance, informatics

Machine Learning Prediction and Phyloanatomic Modeling of Viral Neuroadaptive Signatures in the Macaque Model of HIV-Mediated Neuropathology.
In Microbiology spectrum
Ramirez-Mata Andrea S, Ostrov David, Salemi Marco, Marini Simone, Magalis Brittany Rife
2023-Feb-27
HIV, SIV, envelope, machine learning, neuroAIDS, neuroadaptation, neuropathology, phyloanatomy, phylogenetic

Estimating resistance surfaces using gradient forest and allelic frequencies.
In Molecular ecology resources
Vanhove Mathieu, Launey Sophie
2023-Feb-27
functional connectivity, gradient forest, isolation by resistance, landscape genetics, machine learning, resistance surface

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior.
In eLife
Hebart Martin N, Contier Oliver, Teichmann Lina, Rockter Adam H, Zheng Charles Y, Kidder Alexis, Corriveau Anna, Vaziri-Pashkam Maryam, Baker Chris I
2023-Feb-27
human, neuroscience
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