Results 81 to 90 of about 4,416,987 (284)

Data-driven human transcriptomic modules determined by independent component analysis

BMC Bioinformatics, 2018
Background Analyzing the human transcriptome is crucial in advancing precision medicine, and the plethora of over half a million human microarray samples in the Gene Expression Omnibus (GEO) has enabled us to better characterize biological processes at ...
Weizhuang Zhou, Russ B. Altman
doaj   +1 more source

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek, Lori Wiener, Stephanie Veldhuijzen van Zanten, Donna Johnston, Fyeza Hasan, Adam Rapoport, Nathasha Datoo, Kimberley Widger, Sumit Gupta, Karen Fergus, Anthony K. C. Chan, Alisha Kassam, Emily McCullogh, Dave Lysecki   +13 more
wiley   +1 more source

Robust Independent Component Analysis Based on Two Scatter Matrices

Austrian Journal of Statistics, 2016
Oja, Sirkiä, and Eriksson (2006) and Ollila, Oja, and Koivunen (2007) showed that, under general assumptions, any two scatter matrices with the so called independent components property can be used to estimate the unmixing matrix for the independent ...
Klaus Nordhausen, Hannu Oja, Esa Ollila
doaj   +1 more source

Image metadata estimation using independent component analysis and regression [PDF]

, 2006
In this paper, we describe an approach to camera metadata estimation using regression based on Independent Component Analysis (ICA). Semantic scene classification of images using camera metadata related to capture conditions has had some success in the ...
Blighe, Michael, Le Borgne, Hervé, O'Connor, Noel E.   +2 more
core  

Two Faces of NOTCH1 in Childhood Lymphoblastic T‐Cell Neoplasia: Prognostic Divergence of Mutational and Structural Aberrations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider, Amelie Alfert, Marc Hotfilder, Birgit Burkardt, Marcel te Vrugt   +4 more
wiley   +1 more source

Stochastic trapping in a solvable model of on-line independent component analysis

, 2001
Previous analytical studies of on-line Independent Component Analysis (ICA) learning rules have focussed on asymptotic stability and efficiency. In practice the transient stages of learning will often be more significant in determining the success of an ...
Rattray, Magnus
core   +2 more sources

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

A Feature-Selective Independent Component Analysis Method for Functional MRI

International Journal of Biomedical Imaging, 2007
In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance ...
Yi-Ou Li, Tülay Adali, Vince D. Calhoun
doaj   +1 more source

Independent component analysis based on quantum particle swarm optimization

Egyptian Informatics Journal, 2018
One of the Digital Signal Processing problems is a Blind Source Separation (BSS). There are some of methods are employed to solve this problem which are so-called Independent Component Analysis (ICA) which based on the statistical distribution of the ...
Nidaa AbdulMohsin Abbas, Hussein Mohammed Salman   +1 more
doaj   +1 more source

Diffusion map for clustering fMRI spatial maps extracted by independent component analysis

, 2013
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels.
Alluri, Vinoo, Brattico, Elvira, Cong, Fengyu, Nandi, Asoke K., Ristaniemi, Tapani, Sipola, Tuomo, Toiviainen, Petri   +6 more
core   +1 more source