LEADER 06273nam 2201921z- 450 001 9910367743403321 005 20231214133215.0 010 $a3-03921-789-5 035 $a(CKB)4100000010106283 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41042 035 $a(EXLCZ)994100000010106283 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of Bioinformatics in Cancers 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (418 p.) 311 $a3-03921-788-7 330 $aThis 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. 610 $acancer treatment 610 $aextreme learning 610 $aindependent prognostic power 610 $aAID/APOBEC 610 $aHP 610 $agene inactivation biomarkers 610 $abiomarker discovery 610 $achemotherapy 610 $aartificial intelligence 610 $aepigenetics 610 $acomorbidity score 610 $adenoising autoencoders 610 $aprotein 610 $asingle-biomarkers 610 $agene signature extraction 610 $ahigh-throughput analysis 610 $aconcatenated deep feature 610 $afeature selection 610 $adifferential gene expression analysis 610 $acolorectal cancer 610 $aovarian cancer 610 $amultiple-biomarkers 610 $agefitinib 610 $acancer biomarkers 610 $aclassification 610 $acancer biomarker 610 $amutation 610 $ahierarchical clustering analysis 610 $aHNSCC 610 $acell-free DNA 610 $anetwork analysis 610 $adrug resistance 610 $ahTERT 610 $avariable selection 610 $aKRAS mutation 610 $asingle-cell sequencing 610 $anetwork target 610 $askin cutaneous melanoma 610 $atelomeres 610 $aNeoantigen Prediction 610 $adatasets 610 $aclinical/environmental factors 610 $aStAR 610 $aPD-L1 610 $amiRNA 610 $acirculating tumor DNA (ctDNA) 610 $afalse discovery rate 610 $apredictive model 610 $aComputational Immunology 610 $abrain metastases 610 $aobserved survival interval 610 $anext generation sequencing 610 $abrain 610 $amachine learning 610 $acancer prognosis 610 $acopy number aberration 610 $amutable motif 610 $asteroidogenic enzymes 610 $atumor 610 $amortality 610 $atumor microenvironment 610 $asomatic mutation 610 $atranscriptional signatures 610 $aomics profiles 610 $amitochondrial metabolism 610 $aBufadienolide-like chemicals 610 $acancer-related pathways 610 $aintratumor heterogeneity 610 $aestrogen 610 $alocoregionally advanced 610 $aRNA 610 $afeature extraction and interpretation 610 $atreatment de-escalation 610 $aactivation induced deaminase 610 $aknockoffs 610 $aR package 610 $acopy number variation 610 $agene loss biomarkers 610 $acancer CRISPR 610 $aoverall survival 610 $ahistopathological imaging 610 $aself-organizing map 610 $aNetwork Analysis 610 $aoral cancer 610 $abiostatistics 610 $afirehose 610 $aBioinformatics tool 610 $aalternative splicing 610 $abiomarkers 610 $adiseases genes 610 $ahistopathological imaging features 610 $aimaging 610 $aTCGA 610 $adecision support systems 610 $aThe Cancer Genome Atlas 610 $amolecular subtypes 610 $amolecular mechanism 610 $aomics 610 $acurative surgery 610 $anetwork pharmacology 610 $amethylation 610 $abioinformatics 610 $aneurological disorders 610 $aprecision medicine 610 $acancer modeling 610 $amiRNAs 610 $abreast cancer detection 610 $afunctional analysis 610 $abiomarker signature 610 $aanti-cancer 610 $ahormone sensitive cancers 610 $adeep learning 610 $aDNA sequence profile 610 $apancreatic cancer 610 $atelomerase 610 $aMonte Carlo 610 $amixture of normal distributions 610 $asurvival analysis 610 $atumor infiltrating lymphocytes 610 $acuration 610 $apathophysiology 610 $aGEO DataSets 610 $ahead and neck cancer 610 $agene expression analysis 610 $aerlotinib 610 $ameta-analysis 610 $atraditional Chinese medicine 610 $abreast cancer 610 $aTCGA mining 610 $abreast cancer prognosis 610 $amicroarray 610 $aDNA 610 $ainteraction 610 $ahealth strengthening herb 610 $acancer 610 $agenomic instability 700 $aBrenner$b J. Chad$4auth$01292380 906 $aBOOK 912 $a9910367743403321 996 $aApplication of Bioinformatics in Cancers$93022234 997 $aUNINA