TY  - BOOK
AU  - Ma,Jian
ED  - SpringerLink (Online service)
TI  - Research in Computational Molecular Biology: 28th Annual International Conference, RECOMB 2024, Cambridge, MA, USA, April 29-May 2, 2024, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9781071639894
AV  - QA75.5-76.95 
U1  - 004 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computer science
KW  - Computer Science
N1  -  -- 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-1-0716-3989-4
ER  -