Results 201 to 210 of about 366,099 (287)
ProteoSeeker is a new metagenomic analysis tool that accelerates protein discovery. By automating key steps, it reduces computational complexity and enables comprehensive dataset analysis, performing protein identification, screening based on user‐defined protein families, and taxonomic analysis.
Georgios Filis+6 more
wiley +1 more source
Functional R code is rare in species distribution and abundance papers. [PDF]
Kellner KF, Doser JW, Belant JL.
europepmc +1 more source
This study focuses on the early diagnosis of CVDs through pulse waveforms, requiring wearable devices to achieve high‐fidelity monitoring of pulse waves from the body surface. Knitted strain sensors are optimized in terms of mechanical adaptation and adhesion capability.
Zhongda Chen+6 more
wiley +1 more source
A step forward in botanical exploration with three new Polytrichaceae records from Tibet, China. [PDF]
Zhao W+5 more
europepmc +1 more source
This research article introduces a novel CMOS neural probe with 1024 channels distributed across eight shanks. The SiNAPS probe allows for the simultaneous recording of both local field potentials and action potentials in large brain areas. The probe's design allows for detailed mapping and linking neural dynamics and population unit activity, as ...
Gian Nicola Angotzi+13 more
wiley +1 more source
Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845. [PDF]
Rehbein M+8 more
europepmc +1 more source
Network‐based risk stratification of people living with HIV (PWH) on prolonged therapy using multi‐omics data identifies 44% of the patients are at risk of immunometabolic complications. A senescence‐associated myeloid cell‐driven plasma microenvironment drives immunometabolic dysregulation in at‐risk PWH.
Flora Mikaeloff+32 more
wiley +1 more source
Open Science at the generative AI turn: An exploratory analysis of challenges and opportunities. [PDF]
Hosseini M+3 more
europepmc +1 more source
West Dean College - The Edward James Foundation : review for educational oversight by the Quality Assurance Agency for Higher Education [PDF]
core
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang+6 more
wiley +1 more source