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_aResearch in Computational Molecular Biology _h[electronic resource] : _b28th Annual International Conference, RECOMB 2024, Cambridge, MA, USA, April 29-May 2, 2024, Proceedings / _cedited by Jian Ma. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXXII, 486 p. 107 illus., 98 illus. in color. _bonline resource. |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14758 |
|
| 505 | 0 | _a -- 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 | _aThis 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. | ||
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_aComputer science. _99832 |
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_aComputer Science. _99832 |
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_aMa, Jian. _eeditor. _0(orcid) _10000-0002-4202-5834 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101774 |
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_aSpringerLink (Online service) _9101776 |
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_iPrinted edition: _z9781071639900 |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14758 _923263 |
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