| 000 | 06433naaaa2201885uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/41042 | ||
| 005 | 20220219194558.0 | ||
| 020 | _abooks978-3-03921-789-2 | ||
| 020 | _a9783039217892 | ||
| 020 | _a9783039217885 | ||
| 024 | 7 |
_a10.3390/books978-3-03921-789-2 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aBrenner, J. Chad _4auth |
|
| 245 | 1 | 0 | _aApplication of Bioinformatics in Cancers |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2019 |
||
| 300 | _a1 electronic resource (418 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _acancer treatment | ||
| 653 | _aextreme learning | ||
| 653 | _aindependent prognostic power | ||
| 653 | _aAID/APOBEC | ||
| 653 | _aHP | ||
| 653 | _agene inactivation biomarkers | ||
| 653 | _abiomarker discovery | ||
| 653 | _achemotherapy | ||
| 653 | _aartificial intelligence | ||
| 653 | _aepigenetics | ||
| 653 | _acomorbidity score | ||
| 653 | _adenoising autoencoders | ||
| 653 | _aprotein | ||
| 653 | _asingle-biomarkers | ||
| 653 | _agene signature extraction | ||
| 653 | _ahigh-throughput analysis | ||
| 653 | _aconcatenated deep feature | ||
| 653 | _afeature selection | ||
| 653 | _adifferential gene expression analysis | ||
| 653 | _acolorectal cancer | ||
| 653 | _aovarian cancer | ||
| 653 | _amultiple-biomarkers | ||
| 653 | _agefitinib | ||
| 653 | _acancer biomarkers | ||
| 653 | _aclassification | ||
| 653 | _acancer biomarker | ||
| 653 | _amutation | ||
| 653 | _ahierarchical clustering analysis | ||
| 653 | _aHNSCC | ||
| 653 | _acell-free DNA | ||
| 653 | _anetwork analysis | ||
| 653 | _adrug resistance | ||
| 653 | _ahTERT | ||
| 653 | _avariable selection | ||
| 653 | _aKRAS mutation | ||
| 653 | _asingle-cell sequencing | ||
| 653 | _anetwork target | ||
| 653 | _askin cutaneous melanoma | ||
| 653 | _atelomeres | ||
| 653 | _aNeoantigen Prediction | ||
| 653 | _adatasets | ||
| 653 | _aclinical/environmental factors | ||
| 653 | _aStAR | ||
| 653 | _aPD-L1 | ||
| 653 | _amiRNA | ||
| 653 | _acirculating tumor DNA (ctDNA) | ||
| 653 | _afalse discovery rate | ||
| 653 | _apredictive model | ||
| 653 | _aComputational Immunology | ||
| 653 | _abrain metastases | ||
| 653 | _aobserved survival interval | ||
| 653 | _anext generation sequencing | ||
| 653 | _abrain | ||
| 653 | _amachine learning | ||
| 653 | _acancer prognosis | ||
| 653 | _acopy number aberration | ||
| 653 | _amutable motif | ||
| 653 | _asteroidogenic enzymes | ||
| 653 | _atumor | ||
| 653 | _amortality | ||
| 653 | _atumor microenvironment | ||
| 653 | _asomatic mutation | ||
| 653 | _atranscriptional signatures | ||
| 653 | _aomics profiles | ||
| 653 | _amitochondrial metabolism | ||
| 653 | _aBufadienolide-like chemicals | ||
| 653 | _acancer-related pathways | ||
| 653 | _aintratumor heterogeneity | ||
| 653 | _aestrogen | ||
| 653 | _alocoregionally advanced | ||
| 653 | _aRNA | ||
| 653 | _afeature extraction and interpretation | ||
| 653 | _atreatment de-escalation | ||
| 653 | _aactivation induced deaminase | ||
| 653 | _aknockoffs | ||
| 653 | _aR package | ||
| 653 | _acopy number variation | ||
| 653 | _agene loss biomarkers | ||
| 653 | _acancer CRISPR | ||
| 653 | _aoverall survival | ||
| 653 | _ahistopathological imaging | ||
| 653 | _aself-organizing map | ||
| 653 | _aNetwork Analysis | ||
| 653 | _aoral cancer | ||
| 653 | _abiostatistics | ||
| 653 | _afirehose | ||
| 653 | _aBioinformatics tool | ||
| 653 | _aalternative splicing | ||
| 653 | _abiomarkers | ||
| 653 | _adiseases genes | ||
| 653 | _ahistopathological imaging features | ||
| 653 | _aimaging | ||
| 653 | _aTCGA | ||
| 653 | _adecision support systems | ||
| 653 | _aThe Cancer Genome Atlas | ||
| 653 | _amolecular subtypes | ||
| 653 | _amolecular mechanism | ||
| 653 | _aomics | ||
| 653 | _acurative surgery | ||
| 653 | _anetwork pharmacology | ||
| 653 | _amethylation | ||
| 653 | _abioinformatics | ||
| 653 | _aneurological disorders | ||
| 653 | _aprecision medicine | ||
| 653 | _acancer modeling | ||
| 653 | _amiRNAs | ||
| 653 | _abreast cancer detection | ||
| 653 | _afunctional analysis | ||
| 653 | _abiomarker signature | ||
| 653 | _aanti-cancer | ||
| 653 | _ahormone sensitive cancers | ||
| 653 | _adeep learning | ||
| 653 | _aDNA sequence profile | ||
| 653 | _apancreatic cancer | ||
| 653 | _atelomerase | ||
| 653 | _aMonte Carlo | ||
| 653 | _amixture of normal distributions | ||
| 653 | _asurvival analysis | ||
| 653 | _atumor infiltrating lymphocytes | ||
| 653 | _acuration | ||
| 653 | _apathophysiology | ||
| 653 | _aGEO DataSets | ||
| 653 | _ahead and neck cancer | ||
| 653 | _agene expression analysis | ||
| 653 | _aerlotinib | ||
| 653 | _ameta-analysis | ||
| 653 | _atraditional Chinese medicine | ||
| 653 | _abreast cancer | ||
| 653 | _aTCGA mining | ||
| 653 | _abreast cancer prognosis | ||
| 653 | _amicroarray | ||
| 653 | _aDNA | ||
| 653 | _ainteraction | ||
| 653 | _ahealth strengthening herb | ||
| 653 | _acancer | ||
| 653 | _agenomic instability | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/1821 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/41042 _70 _zDOAB: description of the publication |
| 999 |
_c39522 _d39522 |
||