Results 51 to 60 of about 31,256,270 (297)

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

Mining gene expression data of multiple sclerosis. [PDF]

PLoS ONE, 2014
Microarray produces a large amount of gene expression data, containing various biological implications. The challenge is to detect a panel of discriminative genes associated with disease.
Pi Guo, Qin Zhang, Zhenli Zhu, Zhengliang Huang, Ke Li   +4 more
doaj   +1 more source

Visualization of microarray gene expression data [PDF]

Bioinformation, 2006
Microarray gene expression data is used in various biological and medical investigations. Processing of gene expression data requires algorithms in data mining, process automation and knowledge discovery. Available data mining algorithms exploits various visualization techniques.
Tangirala Venkateswara, Prasad, Syed Ismail, Ahson   +1 more
openaire   +2 more sources

Effect of DFPP on Ferroptosis in Peripheral Blood CD14+ Monocytes of Hyperlipidemic Patients Involving the ACSL4/LPCAT3/ALOX5 Pathway

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng, Lan Li, Qingmei Yang, Meipeng Wu   +3 more
wiley   +1 more source

A cDNA Microarray Gene Expression Data Classifier for Clinical Diagnostics Based on Graph Theory [PDF]

, 2011
Despite great advances in discovering cancer molecular profiles, the proper application of microarray technology to routine clinical diagnostics is still a challenge. Current practices in the classification of microarrays' data show two main limitations:
Stefano Di Carlo, Politano, Gianfranco Michele Maria, Benso, Alfredo, Gianfranco Politano, Di Carlo, Stefano, Alfredo Benso   +5 more
core   +1 more source

Adversarial generation of gene expression data [PDF]

Bioinformatics, 2019
Abstract The problem of reverse engineering gene regulatory networks from high-throughput expression data is one of the biggest challenges in bioinformatics. In order to benchmark network inference algorithms, simulators of well-characterized expression datasets are often required.
Viñas, Ramon, Andrés-Terré, Helena, Liò, Pietro, Bryson, Kevin   +3 more
openaire   +6 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Improved robustness in time series analysis of gene expression data by polynomial model based clustering [PDF]

, 2006
Microarray experiments produce large data sets that often contain noise and considerable missing data. Typical clustering methods such as hierarchical clustering or partitional algorithms can often be adversely affected by such data.
Liu, X, Michael Hirsch, Martin, N, Kellam, P., Xiaohui Liu, Orengo, C., Paul Kellam, Liu, X., Swift, S, Swift, S., Kellam, P, Hirsch, M, Stephen Swift, Tucker, A., Hirsch, M., Tucker, A, Orengo, C, Martin, Nigel, Allan Tucker, Nigel Martin, Christine Orengo   +20 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Cross-Platform Analysis with Binarized Gene Expression Data

, 2009
With widespread use of microarray technology as a potential diagnostics tool, the comparison of results obtained from the use of different platforms is of interest.
Tuna, Salih, Niranjan, Mahesan
core   +2 more sources