Buch, Englisch, Band 14617, 460 Seiten, Format (B × H): 155 mm x 235 mm
28th Annual International Conference, Recomb 2024, Cambridge, Ma, Usa, April 29-May 2, 2024, Proceedings
Buch, Englisch, Band 14617, 460 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-1-0716-3957-3
Verlag: Springer Us
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- 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.
