Search · four archives

Results for microarray classification

or ask it as a questionAsk the stacks →

ArchivesarXiv PubMed bioRxiv chemRxiv

WhenAny time Past month Past year Past 5 years

OrderMost relevant Most cited Newest

13 papers · ranked by Valyu relevance

01
BbioRxiv25 Jun 2021
Impact of SNP microarray analysis of compromised DNA on kinship classification success in the context of investigative genetic genealogy
Jard H. de Vries, Daniel Kling, Athina Vidaki, Pascal Arp + 6 more
Single nucleotide polymorphism (SNP) data generated with microarray technologies have been used to solve murder cases via investigative leads obtained from identifying relatives of the unknown perpetrator included in accessible genomic databases, referred to as investigative genetic genealogy (IGG). However, SNP…
69relevance
02
BbioRxiv18 Jun 2016
Comparing alternative pipelines for cross-platform microarray gene expression data integration with RNA-seq data in breast cancer
Alina Frolova, Vladyslav Bondarenko, Maria Obolenska
According to major public repositories statistics an overwhelming majority of the existing and newly uploaded data originates from microarray experiments. Unfortunately, the potential of this data to bring new insights is limited by the effects of individual study-specific biases due to small number of biological…
68relevance
03
BbioRxiv29 May 2022
BioTEA: containerized methods of analysis for microarray-based transcriptomics data
Luca Visentin, Luca Munaron, Federico Alessandro Ruffinatti
Tens of thousands of gene expression data sets describing a variety of model organisms in a many different pathophysiological conditions are currently stored in publicly available databases such as Gene Expression Omnibus (GEO) and ArrayExpress. As microarray technology is giving way to RNA-Seq, it becomes strategic to…
66relevance
04
BbioRxiv11 Apr 2017
Framework for reanalysis of publicly available Affymetrix^®^ GeneChip^®^ data sets based on functional regions of interest
Ernur Saka, Benjamin J. Harrison, Kirk West, Jeffrey C. Petruska + 1 more
Since the introduction of microarrays in 1995, researchers world-wide have used both commercial and custom-designed microarrays for understanding differential expression of transcribed genes. Public databases such as ArrayExpress and the Gene Expression Omnibus (GEO) have made millions of samples readily available. One…
65relevance
05
BbioRxiv21 Oct 2015
Robust and Stable Gene Selection via Maximum-Minimum Correntropy Criterion
Majid Mohammadi, Hossein Sharifi Noghabi, Ghosheh Abed Hodtani, Habib Rajabi Mashhadi
One of the central challenges in cancer research is identifying significant genes among thousands of others on a microarray. Since preventing outbreak and progression of cancer is the ultimate goal in bioinformatics and computational biology, detection of genes that are most involved is vital and crucial. In this…
64relevance
06
BbioRxiv30 Jun 2026
Impacts of batch effects on the performance of machine learning classifiers across multiple studies
Preston Raab, W. Evan Johnson, Stephen R. Piccolo
Precision medicine relies on accurate and generalizable predictions for patients across the spectrum of human diversity. Because capturing biological heterogeneity requires large sample sizes, researchers must often aggregate data from several experimental batches or independent studies. This integration allows for…
64relevance
07
CchemRxiv25 Nov 2022
Automated semiquantitative analysis of protein macroarrays
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
63relevance
08
CchemRxiv31 Oct 2023
Laryngeal Cancer Diagnosis via miRNA-based Decision Tree Model
Aarav Arora, Igor Tsigelny, Valentina Kouznetsova
Purpose Laryngeal cancer (LC) is the most common head and neck cancer, which often goes undiagnosed due to the expensiveness and inaccessible nature of current diagnosis methods. Many recent studies have shown that microRNAs (miRNAs) are crucial biomarkers for a variety of cancers. Methods In this study, we create a…
62relevance
09
BbioRxiv11 Apr 2021
PanClassif: Improving pan cancer classification of single cell RNA-seq gene expression data using machine learning
Kazi Ferdous Mahin, Md. Robiuddin, Mujahidul Islam, Shayed Ashraf + 2 more
Cancer is one of the major causes of human death per year. In recent years, cancer identification and classification using machine learning have gained momentum due to the availability of high throughput sequencing data. Using RNA-seq, cancer research is blooming day by day and new insights of cancer and related…
62relevance
10
CchemRxiv23 Dec 2025
Predicting Sequence Dependent Fluorescence with Classic Machine Learning Models
Authors not listed
Terminally labeled DNA oligonucleotides have wide applications in modern biology and biotechnological applications. It has been observed that the fluorescent intensity of light released from these fluorescent labels is heavily influenced by the terminal sequence of nucleotides. Recent studies have assayed and published…
62relevance
11
CchemRxiv4 Oct 2024
Automated Microcontact Bioprinting for High-Throughput Manufacturing of Lubricant-Infused Microarrays
Authors not listed
Microarrays are widely used for detecting target analytes and biomarkers, with fabrication methods ranging from non-contact to contact bioprinting techniques. Microcontact bioprinting (μCP), which utilizes elastomeric stamps to transfer biorecognition molecules (bioinks) onto substrates, offers advantages such as…
59relevance
12
CchemRxiv23 Mar 2023
Comprehensive Fluorescence Profiles of Contamination-prone Foods Applied to the Design of Microcontact-printed in situ Functional Oligonucleotide Sensors
Shadman Khan, Amid Shakeri, Jonathan Monteiro, Simrun Tariq + 5 more
With both foodborne illness and food spoilage detrimentally impacting human health and the economy, there is growing interest in the development of in situ sensors that offer real-time monitoring of food quality within enclosed food packages. While oligonucleotide-based fluorescent sensors have illustrated significant…
58relevance
13
CchemRxiv4 Jun 2025
An Efficient Guanine O6 Phosphitylation Repair Strategy for High-Quality DNA Library Synthesis via Digital Nucleic Acid Photolithography
Authors not listed
Large-scale de novo nucleic acid synthesis is a powerful tool enabling researchers to better understand and engineer biological systems. Fields ranging from genomics to nucleic acid therapeutics to synthetic biology make use of high-throughput experimental approaches requiring access to large pools or libraries of DNA…
53relevance

Results for microarray classification

Impact of SNP microarray analysis of compromised DNA on kinship classification success in the context of investigative genetic genealogy

Comparing alternative pipelines for cross-platform microarray gene expression data integration with RNA-seq data in breast cancer

BioTEA: containerized methods of analysis for microarray-based transcriptomics data

Framework for reanalysis of publicly available Affymetrix^®^ GeneChip^®^ data sets based on functional regions of interest

Robust and Stable Gene Selection via Maximum-Minimum Correntropy Criterion

Impacts of batch effects on the performance of machine learning classifiers across multiple studies

Automated semiquantitative analysis of protein macroarrays

Laryngeal Cancer Diagnosis via miRNA-based Decision Tree Model

PanClassif: Improving pan cancer classification of single cell RNA-seq gene expression data using machine learning

Predicting Sequence Dependent Fluorescence with Classic Machine Learning Models

Automated Microcontact Bioprinting for High-Throughput Manufacturing of Lubricant-Infused Microarrays

Comprehensive Fluorescence Profiles of Contamination-prone Foods Applied to the Design of Microcontact-printed in situ Functional Oligonucleotide Sensors

An Efficient Guanine O6 Phosphitylation Repair Strategy for High-Quality DNA Library Synthesis via Digital Nucleic Acid Photolithography

Impact of SNP microarray analysis of compromised DNA on kinship classification success in the context of investigative genetic genealogy

Comparing alternative pipelines for cross-platform microarray gene expression data integration with RNA-seq data in breast cancer

BioTEA: containerized methods of analysis for microarray-based transcriptomics data

Framework for reanalysis of publicly available Affymetrix^®^ GeneChip^®^ data sets based on functional regions of interest

Robust and Stable Gene Selection via Maximum-Minimum Correntropy Criterion

Impacts of batch effects on the performance of machine learning classifiers across multiple studies

Automated semiquantitative analysis of protein macroarrays

Laryngeal Cancer Diagnosis via miRNA-based Decision Tree Model

PanClassif: Improving pan cancer classification of single cell RNA-seq gene expression data using machine learning

Predicting Sequence Dependent Fluorescence with Classic Machine Learning Models

Automated Microcontact Bioprinting for High-Throughput Manufacturing of Lubricant-Infused Microarrays

Comprehensive Fluorescence Profiles of Contamination-prone Foods Applied to the Design of Microcontact-printed in situ Functional Oligonucleotide Sensors

An Efficient Guanine O6 Phosphitylation Repair Strategy for High-Quality DNA Library Synthesis via Digital Nucleic Acid Photolithography