Results 21 to 30 of about 411,688 (293)
Synstable Fusion: A Network-Based Algorithm for Estimating Driver Genes in Fusion Structures
Molecules, 2018 Gene fusion structure is a class of common somatic mutational events in cancer genomes, which are often formed by chromosomal mutations. Identifying the driver gene(s) in a fusion structure is important for many downstream analyses and it contributes to ...
Mingzhe Xu +5 more
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BMC Bioinformatics, 2022 Background As many complex omics data have been generated during the last two decades, dimensionality reduction problem has been a challenging issue in better mining such data. The omics data typically consists of many features. Accordingly, many feature
Tapas Bhadra +3 more
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New Bio-Marker Gene Discovery Algorithms for Cancer Gene Expression Profile
IEEE Access, 2019 Several hybrid gene selection algorithms for cancer classification that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classification accuracy.
Nada Almugren, Hala M. Alshamlan
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Scientific Reports, 2022 Breast adenocarcinoma is the most common of all cancers that occur in women. According to the United States of America survey, more than 282,000 breast cancer patients are registered each year; most of them are women.
Asghar Ali Shah +4 more
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A Key Protein Recognition Algorithm Based on High-order Complex Protein Network [PDF]
International Journal Bioautomation, 2022 Although the existing protein recognition methods have improved the recognition accuracy of key proteins to a certain extent, they have ignored the biological features of the proteins.
Xiaojing Wang
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Gene selection algorithms for microarray data based on least squares support vector machine
BMC Bioinformatics, 2006 Background In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary to conduct the discriminant analysis with all the genes.
Suganthan PN, Tang E Ke, Yao Xin
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Large-scale event extraction from literature with multi-level gene normalization [PDF]
, 2013 Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts.
Ananiadou, Sophia +10 more
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Author Impact: Evaluations, Predictions, and Challenges
IEEE Access, 2019 Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of the author impact evaluation and prediction. Then, we review the recent developments of the author
Fuli Zhang, Xiaomei Bai, Ivan Lee
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Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms [PDF]
Briefings in Bioinformatics, 2016 Given that the majority of multi-exon genes generate diverse functional products, it is important to evaluate expression at the isoform level. Previous studies have demonstrated strong gene-level correlations between RNA sequencing (RNA-seq) and microarray platforms, but have not studied their concordance at the isoform level.
Dapas, Matthew +3 more
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Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes [PDF]
BMC Bioinformatics, 2006 A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same clusters can be functionally correlated. While past successes of such analyses have often been reported in a number of microarray studies (most of ...
Datta Somnath, Datta Susmita
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