Results 181 to 190 of about 11,591,695 (294)

UFold: fast and accurate RNA secondary structure prediction with deep learning. [PDF]

Nucleic Acids Res, 2022
Fu L, Cao Y, Wu J, Peng Q, Nie Q, Xie X.
europepmc   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning. [PDF]

Molecules
Lin H, Hou D, Li Z, Wang S, Liu Y, Gu J, Qian J, Yin R, Zhao H, Wang S, Chen Y, Ju D, Zeng X.   +12 more
europepmc   +1 more source

Length-Dependent Deep Learning Model for RNA Secondary Structure Prediction. [PDF]

Molecules, 2022
Mao K, Wang J, Xiao Y.
europepmc   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

Comprehensive benchmarking of large language models for RNA secondary structure prediction. [PDF]

Brief Bioinform
Zablocki LI, Bugnon LA, Gerard M, Di Persia L, Stegmayer G, Milone DH.   +5 more
europepmc   +1 more source

Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction. [PDF]

Biomolecules, 2022
Guo Y, Wu J, Ma H, Wang S, Huang J.
europepmc   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

TruMPET: A New Method for Protein Secondary Structure Prediction Using Neural Networks Trained on Multiple Pre-Selected Physicochemical and Structural Features. [PDF]

Int J Mol Sci
Milchevskiy YV, Kravatskaya GI, Kravatsky YV.   +2 more
europepmc   +1 more source

Deep learning models for RNA secondary structure prediction (probably) do not generalize across families. [PDF]

Bioinformatics, 2022
Szikszai M, Wise M, Datta A, Ward M, Mathews DH.   +4 more
europepmc   +1 more source