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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Mining Images in Biomedical Publications: Detection and Analysis of Gel Diagrams [PDF]
, 2014 Authors of biomedical publications use gel images to report experimental results such as protein-protein interactions or protein expressions under different conditions. Gel images offer a concise way to communicate such findings, not all of which need to
Krauthammer, Michael +3 more
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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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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
doaj
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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String Matching with Multicore CPUs: Performing Better with the Aho-Corasick Algorithm
, 2014 Multiple string matching is known as locating all the occurrences of a given number of patterns in an arbitrary string. It is used in bio-computing applications where the algorithms are commonly used for retrieval of information such as sequence analysis
Arudchutha, S. +2 more
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A systematic evaluation of methods for tailoring genome-scale metabolic models
Cell Systems, 2017 Genome-scale models of metabolism can illuminate the molecular basis of cell phenotypes. Since many enzymes are only active in specific cell types, several algorithms use omics data to construct cell line- and tissue-specific metabolic models from genome-
S. Opdam +5 more
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Genome Medicine, 2022 Background Bacteria belonging to the genus Haemophilus cause a wide range of diseases in humans. Recently, H. influenzae was classified by the WHO as priority pathogen due to the wide spread of ampicillin resistant strains. However, other Haemophilus spp.
Margo Diricks +9 more
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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
core +3 more sources