journal-club

Computational Biology Journal Club

This repository documents our weekly journal club, where we review and discuss recent advances in computational biology, single-cell technologies, and machine learning.

πŸ—“ Meetings: Fridays at 11:00 AM
πŸ“ Location: Room 3106, Knight Cancer Institute, OHSU – and via Webex
πŸ“© Join us: Contact Γ‡iğdem Ak for the calendar invite and Teams chat

Date Presenter Title
2025-12-06 Jamie Endicott scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling
2025-11-14 Emily Chao Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness
2025-11-07 Cigdem Ak HALO: hierarchical causal modeling for single cell multi-omics data
2025-10-31 John Cheeney PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories
2025-10-17 Julianna Hays Footprint-C reveals transcription factor modes in local clusters and long-range chromatin interactions
2025-10-10 Ian VanGordon Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression
2025-10-03 Nikki Szczepanski Multiomic profiling of hypoxic glioblastoma stem cells reveals expansion of subpopulations with distinct epigenetic and CNV profiles
2025-09-17 Hugo Cros Thermodynamic computing system for AI applications
2025-09-12 Aaron Doe ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images
2025-08-10 Sam Kupp SuperGLUE: An interpretable multiomic integration method
2025-08-29 Travis Moore Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data
2025-08-21 Juyoung Lee ChromaFold predicts the 3D contact map from single-cell chromatin accessibility
2025-08-15 Connor Frankston Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings
2025-07-31 Kaoutar Ait-Ahmad Towards a general-purpose foundation model for computational pathology
2025-07-24 Isfaq Ahmad Computational Model of Progression to Multiple Myeloma Identifies Optimum Screening Strategies
2025-07-17 Mustafa Akur A Foundation Model for Spatial Proteomics
2025-07-12 Theresa Lusardi scEVE: a single-cell RNA-seq ensemble clustering algorithm
2025-07-04 Sam Kupp Concerto: contrastive learning for multimodal single-cell atlas
2025-06-27 John Cheney Identifying T cell antigen at the atomic level with graph convolutional network
2025-06-21 Cigdem Ak Learning single-cell perturbation responses using neural optimal transport
2025-05-30 Samantha Worme Dissecting regulatory syntax in human development with scalable multiomics and deep learning
2025-05-23 Nikki Szczepanski Interpretable phenotype decoding from multi-condition sequencing data with ALPINE
2025-05-23 Nikki Szczepanski Interpretable phenotype decoding from multi-condition sequencing data with ALPINE
2025-05-09 Ian VanGordon SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data
2025-03-21 Christopher Eddy Bridging equation learning and biological modeling with physics-informed neural networks
2025-03-14 Travis Moore EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data
2025-02-28 Juyoung Lee Stripe asymmetry as a directionality signal for the genome
2025-02-21 Mustafa Akur LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedical Applications
2025-02-14 Connor Frankston scHiGex: predicting single-cell gene expression based on single-cell Hi-C data
2025-01-24 Mustafa Akur BERT-style model paper (title not given)
2025-01-17 Kaoutar Ait-Ahmad A foundation model of transcription across human cell types
2024-12-13 Sydney Hamilton Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients
2024-11-22 Layaa Sivakumar CelLink: Integrate single-cell multi-omics data with few linked features and imbalanced cell populations
2024-11-15 Emily Chao Dictys: dynamic gene regulatory network dissects developmental continuum with single-cell multiomics
2024-11-08 Cigdem Ak Multi-task learning from multimodal single-cell omics with Matilda
2024-09-27 Samantha Worme Single-cell multi-scale footprinting reveals the modular organization of DNA regulatory elements
2024-09-20 Stephen Coleman scMaui: a widely applicable deep learning framework for single-cell multiomics integration
2024-09-13 Ruben Lancaster Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning
2024-09-06 Ian VanGordon Analyzing single-cell bisulfite sequencing data with MethSCAn
2024-08-30 Nikki Szczepanski Integration of Single-Cell RNA-Seq Datasets: A Review of Computational Methods
2024-08-23 Hugo Cros SpaNorm: spatially-aware normalisation for spatial transcriptomics data
2024-08-15 Aaron Doe Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
2024-08-09 Rosalyn Fey Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells
2024-07-25 Garth Kong DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors