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LAG 3 (CD 223) as a cancer immunotherapy target
Despite the impressive impact of CTLA 4 and PD 1‐PDL 1‐targeted cancer immunotherapy,
a large proportion of patients with many tumor types fail to respond. Consequently, the focus …
a large proportion of patients with many tumor types fail to respond. Consequently, the focus …
Incorporating machine learning into established bioinformatics frameworks
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …
When is hub gene selection better than standard meta-analysis?
Since hub nodes have been found to play important roles in many networks, highly
connected hub genes are expected to play an important role in biology as well. However …
connected hub genes are expected to play an important role in biology as well. However …
Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data
JE McDermott, J Wang, H Mitchell… - Expert opinion on …, 2013 - Taylor & Francis
Introduction: The advent of high throughput technologies capable of comprehensive
analysis of genes, transcripts, proteins and other significant biological molecules has …
analysis of genes, transcripts, proteins and other significant biological molecules has …
Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer
Ovarian cancer is one of the most significant disease among gynecological disorders that
women suffered from over the centuries. However, disease-specific and effective biomarkers …
women suffered from over the centuries. However, disease-specific and effective biomarkers …
A signal-decreased electrochemical immunosensor for the sensitive detection of LAG-3 protein based on a hollow nanobox-MOFs/AuPt alloy
W Xu, Z Qin, Y Hao, Q He, S Chen, Z Zhang… - Biosensors and …, 2018 - Elsevier
In this work, hollow nanobox metal-organic framework (HNM) nanocomposites were
synthesised and utilised for the first time in a signal decreased electrochemical …
synthesised and utilised for the first time in a signal decreased electrochemical …
Genome-scale analysis to identify prognostic markers in patients with early-stage pancreatic ductal adenocarcinoma after pancreaticoduodenectomy
X Liao, K Huang, R Huang, X Liu, C Han… - OncoTargets and …, 2017 - Taylor & Francis
Background Molecular analysis is a promising source of clinically useful prognostic
biomarkers. The aim of this investigation was to identify prognostic biomarkers for patients …
biomarkers. The aim of this investigation was to identify prognostic biomarkers for patients …
The reconstruction of transcriptional networks reveals critical genes with implications for clinical outcome of multiple myeloma
Purpose: The combined use of microarray technologies and bioinformatics analysis has
improved our understanding of biological complexity of multiple myeloma (MM). In contrast …
improved our understanding of biological complexity of multiple myeloma (MM). In contrast …
Hyper-graph based sparse canonical correlation analysis for the diagnosis of Alzheimer's disease from multi-dimensional genomic data
The effective and accurate diagnosis of Alzheimer's disease (AD), especially in the early
stage (ie, mild cognitive impairment (MCI)) remains a big challenge in AD research. So far …
stage (ie, mild cognitive impairment (MCI)) remains a big challenge in AD research. So far …
Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer's Disease
Alzheimer's disease (AD) brains are characterized by progressive neuron loss and gliosis.
Previous studies of gene expression using bulk tissue samples often fail to consider …
Previous studies of gene expression using bulk tissue samples often fail to consider …