Export citation

Show simple item record

dc.contributor.authorBrenner, J. Chad*
dc.date.accessioned2021-02-11T08:18:39Z
dc.date.available2021-02-11T08:18:39Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:16*
dc.identifier42662*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41042
dc.description.abstractThis collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.*
dc.languageEnglish*
dc.subjectTP248.13-248.65*
dc.subjectT1-995*
dc.subject.othercancer treatment*
dc.subject.otherextreme learning*
dc.subject.otherindependent prognostic power*
dc.subject.otherAID/APOBEC*
dc.subject.otherHP*
dc.subject.othergene inactivation biomarkers*
dc.subject.otherbiomarker discovery*
dc.subject.otherchemotherapy*
dc.subject.otherartificial intelligence*
dc.subject.otherepigenetics*
dc.subject.othercomorbidity score*
dc.subject.otherdenoising autoencoders*
dc.subject.otherprotein*
dc.subject.othersingle-biomarkers*
dc.subject.othergene signature extraction*
dc.subject.otherhigh-throughput analysis*
dc.subject.otherconcatenated deep feature*
dc.subject.otherfeature selection*
dc.subject.otherdifferential gene expression analysis*
dc.subject.othercolorectal cancer*
dc.subject.otherovarian cancer*
dc.subject.othermultiple-biomarkers*
dc.subject.othergefitinib*
dc.subject.othercancer biomarkers*
dc.subject.otherclassification*
dc.subject.othercancer biomarker*
dc.subject.othermutation*
dc.subject.otherhierarchical clustering analysis*
dc.subject.otherHNSCC*
dc.subject.othercell-free DNA*
dc.subject.othernetwork analysis*
dc.subject.otherdrug resistance*
dc.subject.otherhTERT*
dc.subject.othervariable selection*
dc.subject.otherKRAS mutation*
dc.subject.othersingle-cell sequencing*
dc.subject.othernetwork target*
dc.subject.otherskin cutaneous melanoma*
dc.subject.othertelomeres*
dc.subject.otherNeoantigen Prediction*
dc.subject.otherdatasets*
dc.subject.otherclinical/environmental factors*
dc.subject.otherStAR*
dc.subject.otherPD-L1*
dc.subject.othermiRNA*
dc.subject.othercirculating tumor DNA (ctDNA)*
dc.subject.otherfalse discovery rate*
dc.subject.otherpredictive model*
dc.subject.otherComputational Immunology*
dc.subject.otherbrain metastases*
dc.subject.otherobserved survival interval*
dc.subject.othernext generation sequencing*
dc.subject.otherbrain*
dc.subject.othermachine learning*
dc.subject.othercancer prognosis*
dc.subject.othercopy number aberration*
dc.subject.othermutable motif*
dc.subject.othersteroidogenic enzymes*
dc.subject.othertumor*
dc.subject.othermortality*
dc.subject.othertumor microenvironment*
dc.subject.othersomatic mutation*
dc.subject.othertranscriptional signatures*
dc.subject.otheromics profiles*
dc.subject.othermitochondrial metabolism*
dc.subject.otherBufadienolide-like chemicals*
dc.subject.othercancer-related pathways*
dc.subject.otherintratumor heterogeneity*
dc.subject.otherestrogen*
dc.subject.otherlocoregionally advanced*
dc.subject.otherRNA*
dc.subject.otherfeature extraction and interpretation*
dc.subject.othertreatment de-escalation*
dc.subject.otheractivation induced deaminase*
dc.subject.otherknockoffs*
dc.subject.otherR package*
dc.subject.othercopy number variation*
dc.subject.othergene loss biomarkers*
dc.subject.othercancer CRISPR*
dc.subject.otheroverall survival*
dc.subject.otherhistopathological imaging*
dc.subject.otherself-organizing map*
dc.subject.otherNetwork Analysis*
dc.subject.otheroral cancer*
dc.subject.otherbiostatistics*
dc.subject.otherfirehose*
dc.subject.otherBioinformatics tool*
dc.subject.otheralternative splicing*
dc.subject.otherbiomarkers*
dc.subject.otherdiseases genes*
dc.subject.otherhistopathological imaging features*
dc.subject.otherimaging*
dc.subject.otherTCGA*
dc.subject.otherdecision support systems*
dc.subject.otherThe Cancer Genome Atlas*
dc.subject.othermolecular subtypes*
dc.subject.othermolecular mechanism*
dc.subject.otheromics*
dc.subject.othercurative surgery*
dc.subject.othernetwork pharmacology*
dc.subject.othermethylation*
dc.subject.otherbioinformatics*
dc.subject.otherneurological disorders*
dc.subject.otherprecision medicine*
dc.subject.othercancer modeling*
dc.subject.othermiRNAs*
dc.subject.otherbreast cancer detection*
dc.subject.otherfunctional analysis*
dc.subject.otherbiomarker signature*
dc.subject.otheranti-cancer*
dc.subject.otherhormone sensitive cancers*
dc.subject.otherdeep learning*
dc.subject.otherDNA sequence profile*
dc.subject.otherpancreatic cancer*
dc.subject.othertelomerase*
dc.subject.otherMonte Carlo*
dc.subject.othermixture of normal distributions*
dc.subject.othersurvival analysis*
dc.subject.othertumor infiltrating lymphocytes*
dc.subject.othercuration*
dc.subject.otherpathophysiology*
dc.subject.otherGEO DataSets*
dc.subject.otherhead and neck cancer*
dc.subject.othergene expression analysis*
dc.subject.othererlotinib*
dc.subject.othermeta-analysis*
dc.subject.othertraditional Chinese medicine*
dc.subject.otherbreast cancer*
dc.subject.otherTCGA mining*
dc.subject.otherbreast cancer prognosis*
dc.subject.othermicroarray*
dc.subject.otherDNA*
dc.subject.otherinteraction*
dc.subject.otherhealth strengthening herb*
dc.subject.othercancer*
dc.subject.othergenomic instability*
dc.titleApplication of Bioinformatics in Cancers*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-789-2*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
virtual.oapen_relation_isPublishedBy.publisher_nameMDPI - Multidisciplinary Digital Publishing Institute
virtual.oapen_relation_isPublishedBy.publisher_websitewww.mdpi.com/books
oapen.relation.isbn9783039217892*
oapen.relation.isbn9783039217885*
oapen.pages418*
oapen.edition1st*


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/