المؤلفون: Kerstin Lenhof, Lea Eckhart, Lisa-Marie Rolli, Andrea Volkamer, Hans-Peter Lenhof

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

مصطلحات موضوعية: Reliability, Conformal prediction, Simultaneous regression and classification, Drug sensitivity prediction, Drug prioritization, Cancer, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/e4cf8136b79944fc88cae05c829f2352Test

المؤلفون: Nasimian, Ahmad, Younus, Saleena, Tatli, Özge, Hammarlund, Emma U., Pienta, Kenneth J., Rönnstrand, Lars, Kazi, Julhash U.

المصدر: Patterns StemTherapy: National Initiative on Stem Cells for Regenerative Therapy EpiHealth: Epidemiology for Health. 5(1)

مصطلحات موضوعية: deep tabular learning, drug sensitivity prediction, DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems, ensemble learning, explainable AI, feature selection, hyperparameter optimization, machine learning, precision medicine, TabNet, XGBoost, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Bioinformatik (beräkningsbiologi), Natural Sciences, Computer and Information Science, Bioinformatics (Computational Biology)

الوصول الحر: https://lup.lub.lu.se/record/dc2c2fcf-4a4a-4e45-a325-6d54fda9193fTest
http://dx.doi.org/10.1016/j.patter.2023.100897Test

المؤلفون: Lenhof, Kerstin, Eckhart, Lea, Rolli, Lisa-Marie, Volkamer, Andrea, Lenhof, Hans-Peter

مصطلحات موضوعية: ddc:004, Reliability, Conformal prediction, Simultaneous regression and classifcation, Drug sensitivity prediction, Drug prioritization, Cancer

العلاقة: https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-024-62956-6/MediaObjects/41598_2024_62956_MOESM1_ESM.pdfTest; https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-024-62956-6/MediaObjects/41598_2024_62956_MOESM2_ESM.pdfTest; http://nbn-resolving.org/urn:nbn:de:bsz:291--ds-423524Test; hdl:20.500.11880/38017; http://dx.doi.org/10.22028/D291-42352Test

الإتاحة: https://doi.org/10.22028/D291-4235210.1038/s41598-024-62956-6Test
http://nbn-resolving.org/urn:nbn:de:bsz:291--ds-423524Test

المؤلفون: Parisa Azimi, Mina Karimpour, Taravat Yazdanian, Mehdi Totonchi, Abolhassan Ahmadiani

مصطلحات موضوعية: Genetics, Neuroscience, Biotechnology, Cancer, Science Policy, Biological Sciences not elsewhere classified, whole exome sequencing, specific protein domains, potential therapeutic targets, new therapeutic strategies, malignant neoplasm originating, improved therapeutic interventions, drug sensitivity prediction, current study aimed, amino acid changes, adjuvant temozolomide chemotherapy, favorable overall survival, div >< p, aforementioned gbm datasets, gbm datasets, treat despite, survival analysis, somatic interactions, results identified, remains challenging, os ), obscn <, glial cells, genetic alterations, gbm )

العلاقة: https://figshare.com/articles/journal_contribution/Contains_all_data_for_S1-S3_Tables_and_S1_S2_Figs_/24930219Test

الإتاحة: https://doi.org/10.1371/journal.pone.0295698.s001Test
https://figshare.com/articles/journal_contribution/Contains_all_data_for_S1-S3_Tables_and_S1_S2_Figs_/24930219Test

المؤلفون: Xiaolu Xu, Zitong Qi, Xiumei Han, Aiguo Xu, Zhaohong Geng, Xinyu He, Yonggong Ren, Zhaojun Duo

المصدر: Heliyon, Vol 9, Iss 8, Pp e18615- (2023)

مصطلحات موضوعية: Federated learning, Deep learning, Multi-class focal loss, Drug sensitivity prediction, Gene expression, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844023058231Test; https://doaj.org/toc/2405-8440Test

الوصول الحر: https://doaj.org/article/b559ffde984c44699cd3f0c5692962dbTest

المؤلفون: Xiao-Ying Liu, Xin-Yue Mei

المصدر: Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)

مصطلحات موضوعية: multi-omics data, drug sensitivity prediction, deep learning, SPCA, similarity network fusion, Biotechnology, TP248.13-248.65

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fbioe.2023.1156372/fullTest; https://doaj.org/toc/2296-4185Test

الوصول الحر: https://doaj.org/article/43c8906483f046a1a49605eb4821039cTest

المؤلفون: Ferraro, Luigi, Scala, Giovanni, Cerulo, Luigi, Carosati, Emanuele, Ceccarelli, Michele

المساهمون: Ferraro, Luigi, Scala, Giovanni, Cerulo, Luigi, Carosati, Emanuele, Ceccarelli, Michele

مصطلحات موضوعية: drug sensitivity prediction, artificial neural network, multiomics

وصف الملف: ELETTRONICO

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37432499; info:eu-repo/semantics/altIdentifier/wos/WOS:001039323600001; volume:39/2023; issue:7; firstpage:1; lastpage:9; numberofpages:9; journal:BIOINFORMATICS; https://hdl.handle.net/11368/3056779Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85166362817; https://academic.oup.com/bioinformatics/article/39/7/btad432/7222627?login=trueTest

الإتاحة: https://doi.org/10.1093/bioinformatics/btad432Test
https://hdl.handle.net/11368/3056779Test
https://academic.oup.com/bioinformatics/article/39/7/btad432/7222627?login=trueTest

المؤلفون: Ehsan Gharib, Parinaz Nasri Nasrabadi, Gilles A. Robichaud

المصدر: Cancers; Volume 15; Issue 5; Pages: 1554

مصطلحات موضوعية: cancer, chronic lymphocytic leukemia, circular RNA, diagnosis, prognosis, drug sensitivity prediction

وصف الملف: application/pdf

العلاقة: https://dx.doi.org/10.3390/cancers15051554Test

الإتاحة: https://doi.org/10.3390/cancers15051554Test

المؤلفون: Ahmad Nasimian, Lina Al Ashiri, Mehreen Ahmed, Hongzhi Duan, Xiaoyue Zhang, Lars Rönnstrand, Julhash U. Kazi

المصدر: International Journal of Molecular Sciences; Volume 24; Issue 4; Pages: 3830

مصطلحات موضوعية: drug resistance, targeted therapy, TabNet, XGBoost, machine learning, drug sensitivity prediction

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Molecular Informatics; https://dx.doi.org/10.3390/ijms24043830Test

الإتاحة: https://doi.org/10.3390/ijms24043830Test

المؤلفون: Bikash Ranjan Samal, Jens Uwe Loers, Vanessa Vermeirssen, Katleen De Preter

المصدر: Frontiers in Bioinformatics, Vol 2 (2022)

مصطلحات موضوعية: precision oncology, omics, deep learning, drug sensitivity prediction, interpretability, mechanistic insights, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fbinf.2022.1036963/fullTest; https://doaj.org/toc/2673-7647Test

الوصول الحر: https://doaj.org/article/cea4d26d080c4fb69ad2a60b03d8d291Test