Results 161 to 170 of about 96,863 (300)

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

An open-access multi-site fMRI dataset for investigating conscious visual perception. [PDF]

Sci Data
Khalaf A, Richter D, Vidal Y, Gorska-Klimowska U, Hirschhorn R, Das D, Kahraman KST, Sripad P, Taheriyan F, Mudrik L, Pitts M, Blumenfeld H, de Lange FP, Bonacchi N, Brown T, Melloni L.   +15 more
europepmc   +1 more source

Metadata for Improving Transparency in the Credentialing Marketplace

, 2017
This presentation describes the Credential Transparency Description Language (CTDL) --an RDF schema-- and a set of open source applications intended to support rich description of credentials througout the credentialing ecosystem.
Kitchens, Jeanne, Sutton, Stuart A., Sheets, Robert G.   +2 more
core  

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi   +6 more
wiley   +1 more source

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis. [PDF]

Sci Data
Moulaeifard M, Kutscher M, Aston PJ, Charlton PH, Strodthoff N.   +4 more
europepmc   +1 more source

ClusterI: Metadata Quality

, 2016
Metadata quality is critical. Data needs to be found. Metadata is good for providing access to data and resources. The better and more accurate a digital object is described, the easier it will be to find it.
openaire   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

FetchM: streamlining genome and metadata integration for bacterial comparative genomics. [PDF]

Bioinform Adv
Anik TA, Kjær Mackie Jensen P, Begum A.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Data Notes: A New Article Type for Preserving and Sharing Biodiversity Data. [PDF]

Ecol Evol
Soares BE, Jenkins GB.
europepmc   +1 more source