... stewardship. aminoglycoside resistance antimicrobial resistance infectious keratitis macrolide resistance Malawi RNA-deep sequence analysis National Institutes of Health 10.13039/100000002 R01EY032861 K12EY031372 National Eye Institute 10.13039/100000053 EY002162 Ocular surface infections...

... cross-scale convolutional neural networks sequence analysis References 1. Xu   H , Zhou   J , Lin   S . et al.   PLMD: an updated data resource of protein lysine modifications . J Genet Genomics   2017 ; 44 : 243 – 50 . 10.1016/j.jgg.2017.03.007 2. Saraswathy...

...Lucia Pacca; Kristina V Dang; Leah Koenig; Catherine dP Duarte; S Amina Gaye; Amal Harrati; Anusha M Vable Sequence analysis Longitudinal trajectories Lifecourse epidemiology Clustering Methodological guide ACCEPTED MANUSCRIPT American Journal of Epidemiology Submitted Manuscript Special...

... sequencing analysis algorithms, including general sequence-based mapping, and k-mer-based classification methods. Parallelization demonstrated fast processing times achieved through shingling, and scalability analysis revealed optimal performance when employing multiple nodes. Our results showed that HPV...

... using advanced next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) samples. scrub typhus sequence analysis Orientia tsutsugamushi doxycycline The role and mechanism of NLRP3 inflammasome in the induced acute lung injury induced by Staphylococcus lipoteichoic acid 202101AY070001...

...://github.com/santule/pLMEvo . phylogeny protein language models explainable artificial intelligence sequence analysis For half a century, researchers have inferred phylogenetic ‘gene’ trees from homologous protein sequences as a means to investigate protein function and evolution. This inference relies...

.... sequence analysis bioinformatics computational biology CpG sites machine learning National Research Foundation of Korea 10.13039/501100003725 2020R1A2C2005612 2022R1G1A1004613 Korea Big Data Station DNA methylation is an epigenetic process involving the addition of methyl groups to DNA bases...

... prediction accuracy and generalization to unseen data, furthering advancements in the research field. clathrin protein sequence analysis feature integration protein language model, transformed features self-normalized model Establishing reliable, stringent, and comprehensive datasets is the foremost...

... into areas of low SASA. Deep Learning Bioinformatics Computational Biology Proteomics Protein Sequence Analysis Page 1 of 11 Manuscripts submitted to Bioinformatics Advances 1 2 3 4 5 6 7 8 PAPER 9 10 Energy Metric Prediction for Double Insertion 11 12 Mutants via the RoseNet Deep Learning Framework 13...

... a significant step forward in facilitating the exploration and utilization of RNA modification prediction technologies by the broader research community. RNA modification prediction machine learning models post-transcriptional modifications LSTM model web application interface RNA sequence analysis...

... for using cfDNA in allograft (i.e., donor organ) rejection, prenatal testing and diagnostics, and disease detection and health monitoring [ 5 ] (especially for cancer). cell-free DNA liquid biopsies sequence analysis cancer detection workflow Abstract Background Cell-free DNA (cfDNA), a broadly...

... is needed to comprehensively describe an individual’s work history and consider the four key components of life course. Originally developed as a biological research tool for DNA and RNA, sequence analysis provides a comprehensive picture of sequential or interactional life arrays. Its ability to analyze...

... constructed state-level structural cisheterosexism trajectories for each U.S. state/D.C. from 1996-2016. We used sequence analysis to quantify differences between trajectories and cluster analysis to group similar trajectories. We evaluated associations between trajectory clusters and individual-level health...

... 21 10 2024 Corresponding author. E-mail: [email protected] , [email protected] , [email protected] siRNA efficacy prediction gene silencing efficacy RNA sequence analysis graph neural network deep learning References 1. Almeida R , Allshire RC . RNA...

... benefiting from AE. Interpersonal relations Intersectionality Productive engagement Sequence analysis Time use National Institute on Aging 10.13039/100000049 National Institutes of Health 10.13039/100000002 R24AG045061 1R21AG074238-01 P30AG21342 Alzheimer’s Association and NACC New...

... in the process of model construction. (A) The process of feature selection. (B) The feature importance score of the AAIndex_AAC_RFE feature. (C) The performance of the model under different feature combinations. (D) 10-fold cross-validation results of different classifiers. Figure 2 Sequence analysis of PS...

... and positions occurring at different life stages and in various orderings has received little attention. This is despite the fact that these transitions and positions most likely jointly shape wealth accumulation, both in the shorter and longer run. We apply (1) sequence analysis to identify typical family life...

... Additive exPlanations was used to explain it. The predictive model and associated datasets are available on the following github: https://github.com/ZBYnb1/MSlocPRED/tree/main . subcellular localization deep transfer learning sequence analysis interpretable analysis Hong Kong Research Grants Council...

... characteristics, whilst the RAMQ data allows follow-up of individuals (1996–2016). aged care trajectory state sequence analysis care transitions end-of-life care older people We identified five distinct groups of care trajectories in the last two years of life for older adults in Quebec. Overall, 25.5...

... of phage diversity and hold promise for the development of alternative therapeutic strategies against S. maltophilia infections. A lytic bacteriophage BUCT627 against Stenotrophomonas maltophilia. Stenotrophomonas maltophilia bacteriophage BUCT627 genome sequencing sequence...