Results 61 to 70 of about 57,862 (263)
A Pearson Based Feature Compressing Model for SNARE Protein Classification
IEEE Access, 2020 SNARE proteins are a group of proteins that drive the biological fusion of two membranes. It is important to identify them accurately, because malfunction of the SNARE proteins can lead to a lot of diseases.
Guilin Li
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke +4 more
wiley +1 more source
Feature-based representation for assembly modelling [PDF]
, 1996 The need for a product model which can support the modelling requirements of a broad range of applications leads to the application of a feature-based model.
Wan Abdul Rahman Jauhari Bin Wan Harun (7204208)
core
Local Feature Discriminant Projection
, 2016 In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong +3 more
core +1 more source
Learning to aggregate feature representations
CoRR, 2019 The Algonauts challenge requires to construct a multi-subject encoder of images to brain activity. Deep networks such as ResNet-50 and AlexNet trained for image classification are known to produce feature representations along their intermediate stages which closely mimic the visual hierarchy. However the challenges introduced in the Algonauts project,
openaire +2 more sources
Geometric and featural representations in semantic concepts [PDF]
Memory & Cognition, 2010 We explore the adequacy of two types of similarity representation in the context of semantic concepts. To this end, we evaluate different categorization models, assuming either a geometric or a featural representation, using categorization decisions involving familiar and unfamiliar foods and animals.
Vanpaemel, Wolf +4 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Survey on Feature Representation and Similarity Measurement of Time Series
Jisuanji kexue yu tansuo, 2021 Time series is a group of random numbers which are composed of the values of the same index according to the time sequence. With the rapid development of science and technology, the application of time series in the field of data mining becomes more and ...
SUN Dongpu, QU Li
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
A Natural Feature Representation for Unstructured Environments
, 2008 This paper addresses the long-standing problem of feature representation in the natural world for autonomous navigation systems. The proposed representation combines Isomap, which is a nonlinear manifold learning algorithm, with expectation maximization,
Upcroft, Ben +4 more
core +1 more source