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Nature-Inspired Multiobjective Cancer Subtype Diagnosis

Yunhe Wang, Bo Liu, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2019 IEEE Journal of Translational Engineering in Health and Medicine  
Cancer gene expression data is of great importance in cancer subtype diagnosis and drug discovery. Many computational methods have been proposed to classify subtypes using those data.  ...  A novel binary encoding is proposed to choose gene subsets from the cancer gene expression data for calculating four objective functions.  ...  expression data for cancer subtype diagnosis.  ... 
doi:10.1109/jtehm.2019.2891746 pmid:30915261 pmcid:PMC6433215 fatcat:dvmcqpvgfzfi7k7cvs44o2pfbm

Multi-Class Clustering of Cancer Subtypes through SVM Based Ensemble of Pareto-Optimal Solutions for Gene Marker Identification

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Alfons Navarro
2010 PLoS ONE  
They are also useful for identifying potential gene markers for each cancer subtype, which helps in successful diagnosis of particular cancer types.  ...  Microarray cancer datasets, organized as samples versus genes fashion, are being used for classification of tissue samples into benign and malignant or their subtypes.  ...  gene expression data [16] [17] [18] .  ... 
doi:10.1371/journal.pone.0013803 pmid:21103052 pmcid:PMC2980474 fatcat:2hlll2tf7vdsbnrqlbhvvdcaey

Identification of Full and Partial Class Relevant Genes

Zexuan Zhu, Yew-Soon Ong, Jacek M Zurada
2010 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel.  ...  However, besides identifying the relevant genes for the set of all cancer types, it is deemed to be more informative to biologists if the relevance of each gene to specific cancer or subset of cancer types  ...  suggests that all six genes identified in [1] express differently in the subtypes of ALL, i.e., ALL T-cell and ALL B-cell.  ... 
doi:10.1109/tcbb.2008.105 pmid:20431146 fatcat:mgbv54uylrgvfosl6vykbbs5iq

A multi-objective genetic algorithm with fuzzy relational clustering for automatic data clustering

Animesh Kundu, Animesh Kumar Paul, Pintu Chandra Shill, Kazuyuki Murase
2015 2015 2nd International Conference on Electrical Information and Communication Technologies (EICT)  
Breast Effective Gene Selection for Gene Expression Data Sets In microarray cancer data set, it contains a large number of genes expressions.  ...  There are many benchmark microarray data sets in the field of cancer gene expression analysis, including Leukemia cancer data set [39] , Lymphoma cancer data set [40] , Prostate Tumor cancer data set  ... 
doi:10.1109/eict.2015.7391928 fatcat:txc2kidsenewlie7xtwajimq3i


G. K. Prithviraj, S. R. Sommers, R. L. Jump, B. Halmos, L. B. Chambless, S. L. Parker, L. Hassam-Malani, M. J. McGirt, R. C. Thompson, L. B. Chambless, S. L. Parker, L. Hassam-Malani (+757 others)
2011 Neuro-Oncology  
Herein we describe a patient who was found to have not only leptomeningeal carcinomatosis from esophageal adenocarcinoma but also concurrent Pediococcus bacterial meningitis.  ...  A total of 43 medulloblastomas were analyzed for the expression of a select set of marker genes and miRNAs that were most significantly differentially expressed in the four molecular subtypes.  ...  In parallel, genome-wide expression profiling of protein coding genes was carried out using Affymetrix gene 1.0 ST arrays.  ... 
doi:10.1093/neuonc/nor152 fatcat:3dsawkp5hrc4zcmsyymp4dxuju

EMBnet.journal 18 Suppl. B

EMBnet Journal
2012 EMBnet journal  
expressed between cancer subtypes can then be subjected to an analysis of the interactions of their resultant proteins.  ...  Figure 1 : 1 FZD7 differential expression in triple negative breast cancers. (A) ROCK interface for exploring gene expression fold changes.  ...  The report contains the cancer diagnosis, including the cancer 'stages' and the size of the tumor.  ... 
doi:10.14806/ej.18.b.592 fatcat:wlwsmbdlfzbjtk7vyhiabdov6q

Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis

Sumita Mondal, Anup K. Sadhu, Pranab Kumar Dutta
2021 IEEE Access  
This chronic disease causes difficulty in breathing which can lead to lung cancer.  ...  Primary diagnosis can be done using spirometry and CT for early detection of the disease reducing the mortality rates.  ...  Yet, it is less accurate than the evolving computerassisted diagnostic technique.  ... 
doi:10.1109/access.2021.3105114 fatcat:4gptovtoqbakpo4jdojtgkesya

Abstracts from the International Science Symposium on HIV and Infectious Diseases (ISSHID 2019): Infectious diseases

2020 BMC Infectious Diseases  
Conclusion: The RT-Nested PCR protocol could successfully amplify the integrase gene from plasma and DBS specimens from different subtypes.  ...  Integrase gene was amplified and sequenced from 20 plasma and Dried Blood Spots (DBS) specimens from different HIV-1 subtypes (including B, C, B/D, A/E and F).  ...  NS5B gene was amplified using one step RT-PCR kit (Qiagen, Germany) from the extracted RNA.  ... 
doi:10.1186/s12879-020-05038-y pmid:32429962 fatcat:k62u3w74ijd55h2frd2562a56u

Evolutionary Computation and QSAR Research

Vanessa Aguiar-Pulido, Marcos Gestal, Maykel Cruz-Monteagudo, Juan Rabunal, Julian Dorado, Cristian Munteanu
2013 Current Computer - Aided Drug Design  
Each component (gene for GA or leaf node for PG) represents the variables or parameters involved in the problem.  ...  Thus, this review explains the basic of the genetic algorithms and genetic programming as evolutionary computation approaches, the selection methods for highdimensional data in QSAR, the methods to build  ...  ACKNOWLEDGEMENTS Vanessa Aguiar-Pulido and Munteanu C.R. thank sponsorship from the "Plan I2C" and Isidro Parga Pondal research programs respectively, both funded by Xunta de Galicia (Spain) and the European  ... 
doi:10.2174/1573409911309020006 pmid:23700999 fatcat:zsipotcovzhlhg7wrgjfkc5wvu

Basque Conference on Cyber Physical Systems and Artificial Intelligence [article]

Manuel Graña
2022 Zenodo  
Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images.  ...  This work's main proposal lies in the possibility of QIBs from current mainstream imaging modalities in breast cancer diagnosis, benefiting from an expanded availability of data to improve its performance  ... 
doi:10.5281/zenodo.6558965 fatcat:vmrdhbmtwzf6diusv4mqdsgnsa

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 777720.  ...  This work's main proposal lies in the possibility of QIBs from current mainstream imaging modalities in breast cancer diagnosis, benefiting from an expanded availability of data to improve its performance  ... 
doi:10.5281/zenodo.6574965 fatcat:wclgcwfeuvglhnenzq7uvie5by

Towards the discovery of novel sigma receptor modulators: organolithium-methods based synthesis and biological evaluations

Marta Rui
2016 unpublished
In detail, we generated a QSAR model, using the activity data published in literature and our in-house library.  ...  Conversely, S2Rs still present enigmatic aspects, both from structural and pharmacological point of view.  ...  Fig. 4 . 4 Relative Quantification (RQ) of the target genes SR1 and PGRMC1 RNA expression.  ... 
doi:10.25365/thesis.44900 fatcat:btmva6ti4nbrdkl3iu35ipsiue

Letter from the President of WFITN

2015 Interventional Neuroradiology  
Results: By using microarray analysis, we found that 947 genes were differentially expressed in smooth muscle cells responding to high flow insult compared with the sham control, of which 617 genes were  ...  Gene ontology and pathway analysis were used to analyse the data. A subset of genes was selected to be validated using realtime PCR, immunohistchemistry.  ...  Patient-specific models were generated from contrast-enhanced MR angiography data obtained prior to the treatment.  ... 
doi:10.1177/1591019915618059 pmid:26547766 pmcid:PMC4757183 fatcat:fvlfbc5e3zac5l7gpae3qxtgzy

Cellular droplet microarray: a miniaturized technique for high-throughput screening of small molecules and proteins

Yanxi Liu
Gene expression data were normalized against a reference gene GAPDH. In hiPSCs cultured on BIK and GHK coatings, the gene expression level was normalized against that of cells grown on MG.  ...  Hence, isogenic cell lines generated from hiPSCs were evolved to investigate AD related proteins and genes (Woodruff et al., 2013; Young et al., 2015) .  ... 
doi:10.5445/ir/1000136185 fatcat:opjk72mjybcsdhfpgvyojdwxey

Joint Meeting of the FESN (Federation of the European Societies of Neuropsychology)/GNP (Gesellschaft für Neuropsychologie) September 12-14, 2013, Berlin, Germany

2013 Behavioural Neurology  
a person with cancer, predicted to induce negative mood.  ...  CONCLUSION: Our data suggest that specific cognitive testing is helpful in establishing the diagnosis of an iNPH.  ...  Subjects were 50-65 years old, free from dementia and without history of vascular disease.  ... 
doi:10.3233/ben-139900 pmid:28149002 pmcid:PMC5215690 fatcat:f4olin3ogfg7zlznht4ryjbtym
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