Non-Intrusive Load Monitoring of Buildings Using Spectral Clustering. [PDF]
Ghaffar M +5 more
europepmc +1 more source
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou +6 more
wiley +1 more source
Spectral clustering of single-cell multi-omics data on multilayer graphs. [PDF]
Zhang S +4 more
europepmc +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Multi-omic spectral clustering with the flag mean. [PDF]
Carpenter CM +7 more
europepmc +1 more source
Bias-adjusted spectral clustering in multi-layer stochastic block models. [PDF]
Lei J, Lin KZ.
europepmc +1 more source
Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal +10 more
wiley +1 more source
PySimi: a unified framework for similarity measure evaluation in spectral clustering with applications to omics data. [PDF]
Shi T, Ye X, Zou Z, Xi W, Sakurai T.
europepmc +1 more source
GlycoSLASH: Concurrent Glycopeptide Identification from Multiple Related LC-MS/MS Data Sets by Using Spectral Clustering and Library Searching. [PDF]
Li S, Zhu J, Lubman DM, Zhou H, Tang H.
europepmc +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source

