MARC details
000 -LIDER |
fixed length control field |
07589nam a22005055i 4500 |
001 - CONTROL NUMBER |
control field |
978-1-0716-3989-4 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516160035.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240516s2024 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781071639894 |
-- |
978-1-0716-3989-4 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA75.5-76.95 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UY |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM000000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UY |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004 |
Edition number |
23 |
245 10 - TITLE STATEMENT |
Title |
Research in Computational Molecular Biology |
Medium |
[electronic resource] : |
Remainder of title |
28th Annual International Conference, RECOMB 2024, Cambridge, MA, USA, April 29-May 2, 2024, Proceedings / |
Statement of responsibility, etc. |
edited by Jian Ma. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2024. |
264 #1 - |
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Cham : |
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Springer Nature Switzerland : |
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Imprint: Springer, |
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2024. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXII, 486 p. 107 illus., 98 illus. in color. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Lecture Notes in Computer Science, |
International Standard Serial Number |
1611-3349 ; |
Volume/sequential designation |
14758 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
-- Enhancing gene set analysis in embedding spaces a novel best match approach. -- Prompt based Learning on Large Protein Language Models Improves Signal Peptide Prediction. -- Decoil Reconstructing extrachromosomal DNA structural heterogeneity from longread sequencing data. -- Privacy Preserving Epigenetic PaceMaker Stronger Privacy and Improved Efficiency. -- Mapping Cell Fate Transition in Space and Time. -- Approximate IsoRank for Scalable Global Alignment of Biological Networks. -- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors. -- Efficient Analysis of Annotation Colocalization Accounting for Genomic Contexts. -- Secure federated Boolean count queries using fully homomorphic cryptography. -- FragXsiteDTI Revealing Responsible Segments in Drug Target Interaction with Transformer Driven Interpretation. -- An integer programming framework for identifying stable components in asynchronous Boolean networks. -- ImputeCC enhances integrative Hi C based metagenomic binning through constrained random walk based imputation. -- Graph based genome inference from Hi C data. -- Meta colored de Bruijn graphs. -- Color Coding for the Fragment Based Docking Design and Equilibrium Statistics of Protein Binding ssRNAs. -- Automated design of efficient search schemes for lossless approximate pattern matching. -- CELL E A Text To Image Transformer for Protein Localization Prediction. -- A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements. -- Overcoming Observation Bias for Cancer Progression Modeling. -- Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. -- Computing robust optimal factories in metabolic reaction networks. -- Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition. -- Structure and Function Aware Substitution Matrices via Learnable Graph Matching. -- Secure Discovery of Genetic Relatives across Large Scale and Distributed Genomic Datasets. -- GFETM Genome Foundation based Embedded Topic Model for scATAC seq Modeling. -- SEM sized based expectation maximization for characterizing nucleosome positions and subtypes. -- Centrifuger lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. -- BONOBO Bayesian Optimized sample specific Networks Obtained By Omics data. -- regLM Designing realistic regulatory DNA with autoregressive language models. -- DexDesign A new OSPREY based algorithm for designing de novo D peptide inhibitors. -- Memory bound and taxonomy aware kmer selection for ultra large reference libraries. -- SpaCeNet Spatial Cellular Networks from omics data. -- Discovering and overcoming the bias in neoantigen identification by unified machine learning models. -- MaSk LMM A Matrix Sketching Framework for Linear Mixed Models in Association Studies. -- Community structure and temporal dynamics of viral epistatic networks allow for early detection of emerging variants with altered phenotypes. -- Maximum Likelihood Inference of Time scaled Cell Lineage Trees with Mixed type Missing Data. -- TRIBAL Tree Inference of B cell Clonal Lineages. -- Mapping the topography of spatial gene expression with interpretable deep learning. -- GraSSRep Graph Based Self Supervised Learning for Repeat Detection in Metagenomic Assembly. -- PRS Net Interpretable polygenic risk scores via geometric learning. -- Haplotype aware sequence alignment to pangenome graphs. -- Disease Risk Predictions with Differentiable Mendelian Randomization. -- DIISCO A Bayesian framework for inferring dynamic intercellular interactions from time series single cell data. -- Protein domain embeddings for fast and accurate similarity search. -- Processing bias correction with DEBIAS M improves cross study generalization of microbiome based prediction models. -- VICTree a Variational Inference method for Clonal Tree reconstruction. -- DeST OT Alignment of Spatiotemporal Transcriptomics Data. -- Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History. -- Accurate Assembly of Circular RNAs with TERRACE. -- Semi Supervised Learning While Controlling the FDR With an Application to Tandem Mass Spectrometry Analysis. -- CoRAL accurately resolves extrachromosomal DNA genome structures with long read sequencing. -- A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits. -- Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation. -- Inferring allele specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics. -- Contrastive Fitness Learning Reprogramming Protein Language Models for Low N Learning of Protein Fitness Landscape. -- Scalable summary statistics based heritability estimation method with individual genotype level accuracy. -- scMulan a multitask generative pre trained language model for single cell analysis. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book constitutes the proceedings of the 28th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2024, held in Cambridge, MA, USA, during April 29-May 2, 2024. The 57 full papers included in this book were carefully reviewed and selected from 352 submissions. They were organized in topical sections as follows: theoretical and foundational algorithm contributions and more applied directions that engage with new technologies and intriguing biological questions. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer science. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer Science. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ma, Jian. |
Relator term |
editor. |
-- |
(orcid)0000-0002-4202-5834 |
-- |
https://orcid.org/0000-0002-4202-5834 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781071639887 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781071639900 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Lecture Notes in Computer Science, |
-- |
1611-3349 ; |
Volume number/sequential designation |
14758 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-1-0716-3989-4 |
912 ## - |
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ZDB-2-SCS |
912 ## - |
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ZDB-2-SXCS |
912 ## - |
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ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |