Results 41 to 50 of about 411,688 (293)
Big Data and Cognitive Computing, 2022 Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data).
Changwon Yoo +3 more
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Post-transcriptional knowledge in pathway analysis increases the accuracy of phenotypes classification [PDF]
, 2016 Motivation: Prediction of phenotypes from high-dimensional data is a crucial task in precision biology and medicine. Many technologies employ genomic biomarkers to characterize phenotypes.
Acunzo, Mario +5 more
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Results in Physics, 2021 The study aims to explore application of RNAIII inhibiting peptide (RIP) and image information counting algorithm in the rehabilitation treatment plan of staphylococcus aureus infection in old people’s bone and joint.
Hong Ye +7 more
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The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]
, 2013 Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie +4 more
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Informatics in Medicine Unlocked, 2017 Cancer classification is an important problem in cancer diagnosis and treatment. One of the most effective methods in cancer classification is gene selection.
Habib Motieghader +3 more
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An unsupervised text mining method for relation extraction from biomedical literature. [PDF]
PLoS ONE, 2014 The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations.
Changqin Quan, Meng Wang, Fuji Ren
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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Partial mixture model for tight clustering of gene expression time-course [PDF]
, 2008 Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters.
Li, Chang-Tsun +2 more
core +3 more sources
A Hybrid Anti-notch/Goertzel Model for Gene Prediction in DNA Sequences [PDF]
Applied Medical Informatics, 2014 Accurate detection of the exon regions in DNA sequences using signal processing tools has become a challenge in bioinformatics. In this paper, a hybrid Anti-notch/Goertzel algorithm has been presented for gene selection in DNA sequences.
Hamidreza Saberkari SABERKARI +2 more
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RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes
The Scientific World Journal, 2014 Background. Breast cancer is the most common type of cancer among females with a high mortality rate. It is essential to classify the estrogen receptor based breast cancer subtypes into correct subclasses, so that the right treatments can be applied to ...
Ashish Saini, Jingyu Hou, Wanlei Zhou
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