Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. Detecting cancer early by examining gene expression data is vital for providing effective patient care. …”
Get full text

Advances in Research on Isothermal Signal Amplification Mediated MicroRNA Detection of Clinical Samples: Application to Disease Diagnosis by Yu Han, Xin Sun, Sheng Cai

“…However, the intrinsic characteristics of miRNAs, including their low abundance, short sequence lengths, and high family-specific sequence homology, render traditional detection methods such as Northern blot hybridization, microarray use, and reverse transcription quantitative PCR (RT-qPCR) inadequate for meeting the stringent requirements of clinical detection in biological samples, a task requiring accuracy, rapidity, high detection power, specificity, and cost-effectiveness. …”
Get full text

Detection efficacy of non-invasive prenatal testing for copy number variations in the recurrent 17p12 region by ZHANG Lanlan, HAN Xu, LI Niu, WANG Jian, LI Shuyuan

“…Follow-up was conducted to assess the results of subsequent prenatal diagnosis and chromosomal microarray analysis (CMA) performed on peripheral blood from both the pregnant women and their husband. …”
Get full text

SVseq discloses the genomic complexity of different prenatal, de novo, apparently balanced chromosome rearrangements detected by CMA and karyotype by Shengfang Qin, Xueyan Wang, Chun Chen, Jin Wang, Zhuo Zhang, Yan Yin, Xiangyou Leng

“…Methods Five children with BCRs detected through karyotyping and chromosome microarray analysis (CMA) during prenatal diagnoses were analyzed using SVseq technology. …”
Get full text

Identification of Tumor‐Specific Surface Proteins Enables Quantification of Extracellular Vesicle Subtypes for Early Detection of Pancreatic Ductal Adenocarcinoma by Chen Zhao, Zhili Wang, Hyoyong Kim, Hui Kong, Junseok Lee, Jacqueline Ziqian Yang, Anmin Wang, Ryan Y. Zhang, Yong Ju, Jina Kim, Bing Feng, Dejun Liu, Yating Zhang, Zhenfang Wang, Yandong Zhang, Shujing Guo, Dekang Gao, James S. Tomlinson, Renjun Pei, Jipeng Wan, Stephen J. Pandol, Myung‐Shin Sim, Sungyong You, Ding Ma, Shaohua Lu, Na Sun, Hsian‐Rong Tseng, Yazhen Zhu

“…Abstract Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer‐related mortality, largely due to late‐stage diagnosis. Reliable early detection methods are critically needed. PDAC‐derived extracellular vesicles (EVs) carry molecules that reflect their parental tumor cells and are detectable in early disease stages, offering a promising noninvasive diagnostic approach. …”
Get full text

Tumour extracellular vesicle surface Protein-mRNA integration assay for early detection of epithelial ovarian cancerResearch in context by Ying-Tzu Yen, Chen Zhao, Tian Gao, Jacqueline Ziqian Yang, Ning Kang, Jiahui Pu, Lei Qiu, Qixin Hu, Hyoyong Kim, Anmin Wang, Junseok Lee, Ryan Y. Zhang, Na Liu, Yue Ma, You-Ren Ji, Yong Ju, Lynn L. Zheng, James Lee-South, Vivian X. Zuo, Audrey Qian, Aaron Kwan, Yating Zhang, Shenghua Zhang, Zhili Wang, Jing Ren, Huaichao Liu, Zihan Wang, Yang Yue, Jina Kim, Jennifer Sun, Gabriella A. DiBernardo, Laura B. James-Allan, Ying Chen, Weipei Zhu, Guoyun Wang, Renjun Pei, Sanaz Memarzadeh, Sungyong You, Bobbie J. Rimel, Kate Lawrenson, Beth Y. Karlan, Myung Shin Sim, Shaohua Lu, Jipeng Wan, Na Sun, Hsian-Rong Tseng, Yazhen Zhu

“…Three EOC EV surface protein markers (i.e., FRα, MSLN, and TROP2) were selected through a bioinformatic framework using multi-omics data and underwent rigorous validation using EOC cell lines and EOC tissue microarrays. …”
Get full text

Rapid Detection of Panton–Valentine Leukocidin Production in Clinical Isolates of <i>Staphylococcus aureus</i> from Saxony and Brandenburg and Their Molecular Characterisation by Elke Müller, Stefan Monecke, Marc Armengol Porta, Marco Vinicio Narvaez Encalada, Annett Reissig, Lukas Rüttiger, Percy Schröttner, Ilona Schwede, Hans-Herman Söffing, Alexander Thürmer, Ralf Ehricht

“…They were also characterized using DNA microarrays, facilitating the detection of virulence and resistance markers as well as the assignment to clonal complexes and epidemic/pandemic strains. …”
Get full text

AssayBLAST: A Bioinformatic Tool for <i>In Silico</i> Analysis of Molecular Multiparameter Assays by Maximilian Collatz, Sascha D. Braun, Martin Reinicke, Elke Müller, Stefan Monecke, Ralf Ehricht

Get full text

B7-H3 and B7-H4 expression in phyllodes tumors of the breast detected by RNA in situ hybridization and immunohistochemistry: Association with clinicopathological features and T-cel... by Ga-Eon Kim, Nah Ihm Kim, Min Ho Park, Ji Shin Lee

Get full text

The Use of Multiplex Phosphorescence Analysis (PHOSPHAN^TM) and Polymerase Chain Reaction for Laboratory Diagnosis of Ixodid Tick-borne Borrelioses by T. I. Kuznetsova, V. G. Pomelova, E. I. Korenberg, N. S. Osin

Get full text

Implementation of Valid HPV Diagnostics for the Early Detection of Cervical Cancer in Molecular Pathology: HPV 3.5 LCD-Array (Chipron GmbH) vs. PapilloCheck^® (Greiner Bi... by Jan Jeroch, Melanie Winter, Anna Bieber, Agnes Boger, Christina Schmitt, Silvana Ebner, Morva Tahmasbi Rad, Henning Reis, Peter. J. Wild

“…This study compares the two hybridisation-based DNA-microarray systems “HPV 3.5 LCD-Array” (Chipron GmbH) and “PapilloCheck^®” (Greiner Bio-One GmbH), based on their ability to detect and differentiate HPV infections in 42 different cervical smears. …”
Get full text

The Features of a Humoral Immune Response Development during the Acute Phase of ixodes Tick-Borne Borreliosis (Based on Multiplex Analysis with the Immunochip) by V. G. Pomelova, E. I. Korenberg, T. I. Kuznetsova, N. S. Osin

“…Therefore, additional detection of IgM to recombinant proteins did not improve significantly the overall sensitivity of the latter PHOSPHAN variant. …”
Get full text

Evaluating the potential of anti-dsRNA antibodies as an alternative viral sensing tool in encephalitides of different species by Madeleine de le Roi, Hannah Gerhards, Adnan Fayyad, Adnan Fayyad, Mathias Boelke, Stefanie Christine Becker, Asisa Volz, Ingo Gerhauser, Wolfgang Baumgärtner, Christina Puff

“…Molecular methods like multiplex PCR and microarrays are considered to be often less sensitive than Next Generation Sequencing, whereas the latter is time-consuming and costly. …”
Get full text

A RNA-Seq Analysis of the Rat Supraoptic Nucleus Transcriptome: Effects of Salt Loading on Gene Expression. by Kory R Johnson, C C T Hindmarch, Yasmmyn D Salinas, YiJun Shi, Michael Greenwood, See Ziau Hoe, David Murphy, Harold Gainer

“…In addition, we compare the SON transcriptomes resolved by RNA-Seq methods with the SON transcriptomes determined by Affymetrix microarray methods in rats under the same osmotic conditions, and find that there are 6,466 genes present in the SON that are represented in both data sets, although 1,040 of the expressed genes were found only in the microarray data, and 2,762 of the expressed genes are selectively found in the RNA-Seq data and not the microarray data. …”
Get full text

Genome-wide analysis of m6A-modified circRNAs in the mouse model of myocardial injury induced by obstructive sleep apnea by Jiuhuang Lan, Yuhui Wang, Chang Liu, Hongli Chen, Qingshi Chen

“…Methods Firstly, the expression profiles of m6A-modified circRNA in left ventricular tissue of the CIH mouse model were examined using circRNA microarray analysis. Then, the expression level of selected circrRNA was compared by folding change filtration, and the consistency between them and microarray results was verified by MeRIP-qPCR. …”
Get full text

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. …”
Get full text

Mutation Spectrum of the ABCA4 Gene in a Greek Cohort with Stargardt Disease: Identification of Novel Mutations and Evidence of Three Prevalent Mutated Alleles by Kamakari Smaragda, Kokkinou Vassiliki, Koutsodontis George, Stamatiou Polixeni, Giatzakis Christoforos, Anastasakis Anastasios, Aslanides Ioannis Minas, Koukoula Stavrenia, Panagiotoglou Theoni, Datseris Ioannis, Tsilimbaris K. Miltiadis

“…MLPA analysis as well as sequencing of two regions in introns 30 and 36 reported earlier to harbor deep intronic disease-associated variants was used in 4 selected cases. Results. An overall detection rate of at least one mutant allele was achieved in 52 of the 59 patients (88.1%). …”
Get full text

Evaluation of gene expression classification studies: factors associated with classification performance. by Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans

“…The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. …”
Get full text

Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues by Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu

“…The exact aetiology and pathogenesis of vitiligo remain incompletely understood.MethodsFirst, a microarray dataset of blood samples from multiple patients with vitiligo was collected from GEO database.The limma package was used to analyze the microarray data and identify significant differentially expressed genes (DEGs). …”
Get full text

Global gene expression profiling reveals SPINK1 as a potential hepatocellular carcinoma marker. by Aileen Marshall, Margus Lukk, Claudia Kutter, Susan Davies, Graeme Alexander, Duncan T Odom

“…Six genes identified by microarray as highly expressed in HH-HCC were confirmed by RT qPCR. …”
Get full text