Results 21 to 30 of about 22,889,079 (421)

Differential Gene Sets Profiling in Gram-Negative and Gram-Positive Sepsis

Frontiers in Cellular and Infection Microbiology, 2022
BackgroundThe host response to bacterial sepsis is reported to be nonspecific regardless of the causative pathogen. However, newer paradigms indicated that the host response of Gram-negative sepsis may be different from Gram-positive sepsis, and the ...
Qingliang Wang, Xiaojie Li, Wenting Tang, Xiaoling Guan, Zhiyong Xiong, Yong Zhu, Jiao Gong, Bo Hu   +7 more
doaj   +1 more source

GSVA: gene set variation analysis for microarray and RNA-Seq data

BMC Bioinformatics, 2013
Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary.
Sonja Hänzelmann, R. Castelo, J. Guinney   +2 more
semanticscholar   +1 more source

Real-time DNA microarray analysis [PDF]

, 2009
We present a quantification method for affinity-based DNA microarrays which is based on the real-time measurements of hybridization kinetics. This method, i.e.
Abdueva, Arjang Hassibi, Babak Hassibi, Bassil, Beissbarth, Belosludtsev, Berg, Bishop, Chee, Chen, Dai, Das, Fritz, Georgiadis, Ghosh, Hall, Hardenbol, Haris Vikalo, Hassibi, Hassibi, Hassibi, Heaton, Homola, Hubble, Huber, José Luis Riechmann, Kennedy, Lacowicz, Levine, Linneti, Lockhart, Lockhart, Marras, Okamura, Ota, Pease, Peterson, Rajendran, SantaLucia, Savran, Schena, Schena, Schienle, Shalon, Skvortsov, Smith, Steinfield, Stimpson, Su, Towery, Tu, Van Kampen, Vikalo, Wang, Watterson, Yamaguchi, Zeng   +56 more
core   +3 more sources

cDNA Microarray and SNP Analysis

Journal of Nippon Medical School, 2001
Mitsuru Emi
openaire   +5 more sources

MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform [PDF]

, 2017
Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for ...
De Puysseleyr, Veronic, Degroeve, Sven, Gupta, Surya, Lemmens, Irma, Lievens, Sam, Maddelein, Davy, Martens, Lennart, Tavernier, Jan, Van Der Heyden, José   +8 more
core   +1 more source

Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

Frontiers in Cardiovascular Medicine, 2022
The ability of blood transcriptome analysis to identify dysregulated pathways and outcome-related genes following myocardial infarction remains unknown.
Hu Zhai, Hu Zhai, Hu Zhai, Hu Zhai, Lei Huang, Lei Huang, Lei Huang, Lei Huang, Yijie Gong, Yingwu Liu, Yingwu Liu, Yu Wang, Yu Wang, Bojiang Liu, Bojiang Liu, Xiandong Li, Chunyan Peng, Chunyan Peng, Chunyan Peng, Tong Li, Tong Li, Tong Li, Tong Li   +22 more
doaj   +1 more source

Methylation Analysis by Microarray [PDF]

, 2009
Differential methylation hybridization (DMH) is a high-throughput DNA methylation screening tool that utilizes methylation-sensitive restriction enzymes to profile methylated fragments by hybridizing them to a CpG island microarray. This array contains probes spanning all the 27,800 islands annotated in the UCSC Genome Browser. Herein we describe a DMH
Pearlly S. Yan, Dustin Potter, Tim H M Huang, Shili Lin, Daniel E. Deatherage   +4 more
openaire   +3 more sources

limma powers differential expression analyses for RNA-sequencing and microarray studies

Nucleic Acids Research, 2015
limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the ...
Matthew E. Ritchie, B. Phipson, Diabetes-Ling Wu, Yifang Hu, C. Law, Wei Shi, G. Smyth   +6 more
semanticscholar   +1 more source

Enhanced Directed Random Walk for the Identification of Breast Cancer Prognostic Markers from Multiclass Expression Data

Entropy, 2021
Artificial intelligence in healthcare can potentially identify the probability of contracting a particular disease more accurately. There are five common molecular subtypes of breast cancer: luminal A, luminal B, basal, ERBB2, and normal-like.
Hui Wen Nies, Mohd Saberi Mohamad, Zalmiyah Zakaria, Weng Howe Chan, Muhammad Akmal Remli, Yong Hui Nies   +5 more
doaj   +1 more source

TM4: a free, open-source system for microarray data management and analysis.

BioTechniques, 2003
White1, J. Li1, W. Liang1, N. Bhagabati1, J. Braisted1, M. Klapa1, T. Currier1, M. Thiagarajan1, A. Sturn1, M. Snuffin2, A. Rezantsev2, D. Popov2, A. Ryltsov2, E. Kostukovich2, I. Borisovsky2, Z. Liu3, A. Vinsavich3, V. Trush3, and J. Quackenbush1,4 1The
A. Saeed, V. Sharov, J. White, J. Li, W. Liang, N. Bhagabati, J. Braisted, M. Kłapa, T. Currier, M. Thiagarajan, A. Sturn, M. Snuffin, A. Rezantsev, D. Popov, A. Ryltsov, E. Kostukovich, I. Borisovsky, Z. Liu, A. Vinsavich, V. Trush, John Quackenbush   +20 more
semanticscholar   +1 more source