| 000 | 04191nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-981-97-5087-0 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112625.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240712s2024 si | s |||| 0|eng d | ||
| 020 |
_a9789819750870 _9978-981-97-5087-0 |
||
| 024 | 7 |
_a10.1007/978-981-97-5087-0 _2doi |
|
| 050 | 4 | _aQH324.2-324.25 | |
| 072 | 7 |
_aUY _2bicssc |
|
| 072 | 7 |
_aPS _2bicssc |
|
| 072 | 7 |
_aCOM082000 _2bisacsh |
|
| 072 | 7 |
_aPSAX _2thema |
|
| 245 | 1 | 0 |
_aBioinformatics Research and Applications _h[electronic resource] : _b20th International Symposium, ISBRA 2024, Kunming, China, July 19–21, 2024, Proceedings, Part III / _cedited by Wei Peng, Zhipeng Cai, Pavel Skums. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
|
| 300 |
_aXIV, 147 p. 40 illus., 32 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v14956 |
|
| 505 | 0 | _a -- Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data. -- LoopNetica: predicting chromatin loops using convolutional neural networks and attention mechanisms. -- Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem. -- Patient Anticancer Drug Response Prediction based on Single-Cell Deconvolution. -- A Data Set of Paired Structural Segments between Protein Data Bank and AlphaFold DB for Medium-Resolution Cryo-EM Density Maps: A Gap in Overall Structural Quality. -- PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning. -- Improved Inapproximability Gap and Approximation Algorithm for Scaffold Filling to Maximize Increased Duo-preservations. -- Residual Spatio-Temporal Attention based Prototypical Network for Rare Arrhythmia Classification. -- SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for comprehensive quantitative metaproteomics. -- PrSMBooster:Improving the Accuracy of Top-down Proteoform Characterization using Deep Learning Rescoring Models. -- FCMEDriver: identifing cancer driver gene by combining mutual exclusivity of embedded features and optimized mutation frequency score. | |
| 520 | _aThis book constitutes the refereed proceedings of the 20th International Symposium on Bioinformatics Research and Applications, ISBRA 2024, held in Kunming, China, in July 19–21, 2024. The 93 full papers included in this book were carefully reviewed and selected from 236 submissions. The symposium provides a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications. | ||
| 650 | 0 |
_aBioinformatics. _964050 |
|
| 650 | 0 |
_aArtificial intelligence. _958441 |
|
| 650 | 0 | _aComputer engineering. | |
| 650 | 0 |
_aComputer networks . _960157 |
|
| 650 | 1 | 4 |
_aBioinformatics. _964050 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 | _aComputer Engineering and Networks. |
| 700 | 1 |
_aPeng, Wei. _eeditor. _0(orcid)0000-0002-9572-951X _1https://orcid.org/0000-0002-9572-951X _4edt _4http://id.loc.gov/vocabulary/relators/edt _980472 |
|
| 700 | 1 |
_aCai, Zhipeng. _eeditor. _0(orcid)0000-0001-6017-975X _1https://orcid.org/0000-0001-6017-975X _4edt _4http://id.loc.gov/vocabulary/relators/edt _980473 |
|
| 700 | 1 |
_aSkums, Pavel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _980474 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819750863 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819750887 |
| 830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v14956 _975196 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-5087-0 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 999 |
_c61548 _d61548 |
||