Results 41 to 50 of about 180,353 (259)

CircCCNB1 inhibits vasculogenic mimicry by sequestering NF90 to promote miR‐15b‐5p and miR‐7‐1‐3p processing in nasopharyngeal carcinoma

Molecular Oncology, EarlyView.
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan, Fenghua Tan, Jie Wu, Zhaoyang Zeng, Wenjia Guo, He Huang, Wei Xiong   +6 more
wiley   +1 more source

Spot Detection and Image Segmentation in DNA Microarray Data [PDF]

, 2005
Following the invention of microarrays in 1994, the development and applications of this technology have grown exponentially. The numerous applications of microarray technology include clinical diagnosis and treatment, drug design and discovery, tumour ...
Adnan, Ali, Ngom, Alioune, Qin, Li, Rueda, Luis   +3 more
core   +2 more sources

A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis [PDF]

The Scientific World Journal, 2014
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper,
Kannan Arputharaj, Chilambuchelvan Arul Ganaprakasam, Jaison Bennet   +2 more
openaire   +3 more sources

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Can graph-cutting improve microarray gene expression reconstructions? [PDF]

, 2008
Microarrays produce high-resolution image data that are, unfortunately, permeated with a great deal of “noise” that must be removed for precision purposes. This paper presents a technique for such a removal process. On completion of this non-trivial task,
Fraser, K, Kellam, P, Li, Y, Liu, X, Wang, Z   +4 more
core   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Cellular neural networks, Navier-Stokes equation and microarray image reconstruction [PDF]

, 2011
Copyright @ 2011 IEEE.Although the last decade has witnessed a great deal of improvements achieved for the microarray technology, many major developments in all the main stages of this technology, including image processing, are still needed.
Liu, X, Wang, Z, Zineddin, B
core   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Physico-chemical foundations underpinning microarray and next-generation sequencing experiments [PDF]

, 2013
Hybridization of nucleic acids on solid surfaces is a key process involved in high-throughput technologies such as microarrays and, in some cases, next-generation sequencing (NGS).
A. Buhot, A. E. Pozhitkov, A. Halperin, A. Harrison, A. Ott, Amend, B. M. Pettitt, Berger, Binder, Binder, Binder, Binder, Bolstad, Bullard, Burden, Burden, C. Gibas, C. J. Burden, Chou, Chou, Czypionka, D. P. Kreil, D. Tautz, E. Carlon, Fasold, Fasold, Fiche, Fuchs, H. Binder, Halperin, Harr, Harrison, He, Heim, Held, Hooyberghs, Huettel, Iltumur, Irizarry, Irizarry, Irizarry, Irving, J. Hooyberghs, Kane, L. J. Gamble, Lee, Lee, Letowski, Li, Liebich, Lockhart, Luebke, Marshall, Matveeva, Mueckstein, Mulders, Naiser, Naiser, P. A. Noble, Pingel, Pozhitkov, R. Levicky, Relogio, Rouillard, Tanaka, Trapp, Upton, Vainrub, Wodicka, Yu, Zhang   +70 more
core   +3 more sources

Using an attribute estimation technique for the analysis of microarray data [PDF]

, 2003
International ...
Mary, Jérémie, Mercier, Guillaume, Comet, Jean-Paul, Cornuéjols, Antoine, Froidevaux, Christine, Dutreix, Marie   +5 more
openaire   +1 more source