Results 31 to 40 of about 1,986,261 (302)
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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EMBO Molecular Medicine, 2018 Microsatellite instability (MSI) leads to accumulation of an excessive number of mutations in the genome, mostly small insertions and deletions. MSI colorectal cancers (CRCs), however, also contain more point mutations than microsatellite‐stable (MSS ...
Johanna Kondelin +36 more
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RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks. [PDF]
PLoS ONE, 2011 RegnANN is a novel method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm builds a regressor for each gene in the network, estimating its neighborhood independently.
Marco Grimaldi +2 more
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Evaluation of variable selection methods for random forests and omics data sets
Briefings Bioinform., 2017 Machine learning methods and in particular random forests are promising approaches for prediction based on high dimensional omics data sets. They provide variable importance measures to rank predictors according to their predictive power.
F. Degenhardt, S. Seifert, S. Szymczak
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Evolutionary Clustering Algorithm with Knowledge-Based Evaluation for Fuzzy Cluster Analysis of Gene Expression Profiles [PDF]
, 2005 Clustering method, which groups thousands of genes by their similarities of expression levels, has been used for identifying unknown functions of genes. Fuzzy clustering method that is one category of clustering assigns one sample to multiple groups according to their membership degrees.
Han-Saem Park, Sung-Bae Cho
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Cell journal, 2023 In microarray datasets, hundreds and thousands of genes are measured in a small number of samples, and sometimes due to problems that occur during the experiment, the expression value of some genes is recorded as missing. It is a difficult task to determine the genes that cause disease or cancer from a large number of genes.
Rabiei, Niloofar +3 more
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Computation of significance scores of unweighted Gene Set Enrichment Analyses
BMC Bioinformatics, 2007 Background Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for interpreting microarray gene expression data, but it can be applied to any ...
Lenhof Hans-Peter +2 more
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BMC Bioinformatics, 2023 Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical treatments of cancer.
Rajul Mahto +7 more
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, 2018 The paper presents the results of the research concerning an evaluation of information 1 technology of gene expression profiles processing stability with the use of gene expression profiles 2 with different levels of noise component.
S. Babichev
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Evaluation and Design of Genome-Wide CRISPR/SpCas9 Knockout Screens
G3: Genes, Genomes, Genetics, 2017 The adaptation of CRISPR/SpCas9 technology to mammalian cell lines is transforming the study of human functional genomics. Pooled libraries of CRISPR guide RNAs (gRNAs) targeting human protein-coding genes and encoded in viral vectors have been used to ...
Traver Hart +31 more
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