Results 71 to 80 of about 3,887,902 (293)

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients

Data in Brief, 2018
This article contains further data and information from our published manuscript [1]. We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients.
Thidathip Wongsurawat, Chin Cheng Woo, Antonis Giannakakis, Xiao Yun Lin, Esther Sok Hwee Cheow, Chuen Neng Lee, Mark Richards, Siu Kwan Sze, Intawat Nookaew, Vladimir A. Kuznetsov, Vitaly Sorokin   +10 more
doaj   +1 more source

A Machine Learning Pipeline for Cancer Detection on Microarray Data: The Role of Feature Discretization and Feature Selection

BioMedInformatics, 2023
Early disease detection using microarray data is vital for prompt and efficient treatment. However, the intricate nature of these data and the ongoing need for more precise interpretation techniques make it a persistently active research field.
Adara Nogueira, Artur Ferreira, Mário Figueiredo   +2 more
doaj   +1 more source

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository [PDF]

Nucleic Acids Research, 2002
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexible and open design that facilitates submission, storage and retrieval of heterogeneous data sets from high-throughput gene expression and genomic hybridization experiments.
Ron, Edgar, Michael, Domrachev, Alex E, Lash   +2 more
openaire   +2 more sources

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

BMC Bioinformatics, 2022
Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method.
He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong   +5 more
doaj   +1 more source

Brain Cancer Prediction Based on Novel Interpretable Ensemble Gene Selection Algorithm and Classifier

Diagnostics, 2021
The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor is crucial for the prognosis and treatment of the patient. Data from cancer microarrays typically include fewer samples with many gene expression levels as
Abdulqader M. Almars, Majed Alwateer, Mohammed Qaraad, Souad Amjad, Hanaa Fathi, Ayda K. Kelany, Nazar K. Hussein, Mostafa Elhosseini   +7 more
doaj   +1 more source

Genetic programming for mining DNA chip data from cancer patients [PDF]

, 2004
In machine learning terms DNA (gene) chip data is unusual in having thousands of attributes (the gene expression values) but few (
Buxton, BF, Langdon, WB
core   +3 more sources

Adjunctive Therapeutic Plasma Exchange in Refractory Adult‐Onset Still's Disease Complicated by Secondary Macrophage Activation Syndrome: A Single‐Center Experience

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda, Tomohiro Saito, Masahide Mizobuchi, Tomoki Shimomura, Saki Kawamori, Mitsuru Kawanishi, Natsuko Hattori, Jo Sugiyama, Satoshi Tsubata, Hanami Horiguchi, Kazuki Abe, Nao Iida, Yuki Kajio, Nao Oguro, Ryo Yanai, Hirokazu Honda   +15 more
wiley   +1 more source

Skewness-Kurtosis Model-Based Projection Pursuit with Application to Summarizing Gene Expression Data

Mathematics, 2021
Non-normality is a usual fact when dealing with gene expression data. Thus, flexible models are needed in order to account for the underlying asymmetry and heavy tails of multivariate gene expression measures.
Jorge M. Arevalillo, Hilario Navarro
doaj   +1 more source

TOPOLOGICAL FEATURES IN CANCER GENE EXPRESSION DATA [PDF]

Biocomputing 2015, 2014
We present a new method for exploring cancer gene expression data based on tools from algebraic topology. Our method selects a small relevant subset from tens of thousands of genes while simultaneously identifying nontrivial higher order topological features, i.e., holes, in the data.
Lockwood, Svetlana, Krishnamoorthy, Bala
openaire   +3 more sources