RECOMB-CCB 2026 Program

Keynote Invited keynote
H Highlights track
P Proceedings track
LBR Late-Breaking Research
Day 1 May 24
09:30 – 09:35
Welcome
09:35 – 10:35
Keynote 1
AI models for spatial architecture and cell dynamics in cancer
Christina Leslie
10:35 – 11:00
H
The interpretable multimodal dimension reduction framework SpaHDmap enhances resolution in spatial transcriptomics
Junjie Tang, Zihao Chen, Kun Qian, Siyuan Huang, Yang He, Shenyi Yin, Xinyu He, Buqing Ye, Yan Zhuang, Hongxue Meng, Jianzhong Xi and Ruibin Xi
11:00 – 13:00
Break
Poster session and lunch
13:00 – 13:25
H
Pan-cancer human brain metastases atlas at single-cell resolution
Xudong Xing
13:25 – 13:50
P
Tumor cell specific total mRNA expression informed neural networks predicts cancer progression
Ankita Paul, Jessica Lal, Shuangxi Ji, Carissa Fong, Kevin Chen, Yu Ding, Ruonan Li, Yaoyi Dai, Quang Tran, Matthew Montierth, Alberti Saverio, Scott Kopetz and Wenyi Wang
13:50 – 14:15
P
Network-based analysis of glioblastoma identifies patient communities and cluster-specific biomarkers
Nicoleta Siminea, Daniela Florea, Mihaela Păun, Andrei Păun and Ion Petre
14:15 – 15:00
Break
Coffee break
15:00 – 16:00
Keynote 2
Computational Insights from Autoimmunity and Implications for Cancer Immunology
Aly Khan
16:00 – 16:25
P
Toward identification of common DNA repair process in mutational signatures
Damian Wojtowicz, Marcin Wierzbinski, Jan Hoinka, Roded Sharan and Teresa Przytycka
16:25 – 16:45
LBR
MOD-SQUARES detects low-fraction residual disease and predicts recurrence from plasma methylation in triple-negative breast cancer
Armaghan Sarvar, Elena Zaikova, Esther Kong, Viviana Cerda, Benjamin Furman, Karen Gelmon and Samuel Aparicio
Day 2 May 25
09:30 – 09:35
Welcome
09:35 – 10:35
Keynote 3
Tracing Proliferation, Non-Genetic Alterations, and Mutations through Single-Cell Tumour Evolution
Simone Zaccaria
10:35 – 11:00
P
Scalable subclonal reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model
Yujie Jiang, Matthew Montierth, Yu Ding, Kaixian Yu, Quang Tran, Aaron Wu, Ruonan Li, Shuangxi Ji, Xiaoqian Liu, Seung Jun Shin, Shaolong Cao, Yuxin Tang, Tom Lesluyes, Marek Kimmel, Jennifer Wang, Maxime Tarabichi, Hongtu Zhu, Peter Van Loo and Wenyi Wang
11:00 – 11:40
Break
Coffee break
11:40 – 12:05
P
scPlOver: inferring DNA content from amplification-free single-cell WGS using fragment overlaps
Matthew Myers, Gryte Satas, Sohrab Shah and Andrew McPherson
12:05 – 12:30
H
CNSistent integration and feature extraction from somatic copy number profiles
Adam Streck and Roland F. Schwarz
12:30 – 12:55
P
MOSAIC: Model-based, Subgroup-Aware Identification of Driver Mutations in Cancer
Kiersten Campbell and Matthew Reyna
12:55 – 14:30
Break
Lunch break
14:30 – 15:30
Keynote 4
Inferring cancer evolution from copy number alterations
Roland Schwarz
15:30 – 15:50
LBR
Conquer: a flexible, data-driven consensus framework for improving subclonal reconstruction
Songyun Li, Leah Weber and Peter Van Loo
15:50 – 16:30
Break
Coffee break
16:30 – 16:55
H
SMiTH: computational framework for unraveling histories of metastatic cancers under evolutionary constraints
Kiril Kuzmin, Henri Schmidt, Maryam Kafikang, Sagi Snir, Ben Raphael and Pavel Skums
16:55 – 17:15
LBR
LeafRank: A phylodynamic framework for inferring relative fitness from single-cell phylogenies in chromosomally unstable tumors
Chenyu Wu, Zicheng Wang and Ruping Sun
17:15 – 17:35
LBR
Tracking the co-evolution of genome and transcriptome through treatment on the single-cell level
Maja Cwikla, Thomas Kono, Laura Godfrey, Nadine Wittstruck, Elias Fos, Thomas Konrad, Anton Henssen, Kerstin Haase, Matthias Fischer and Roland Schwarz
17:35 – 19:00
Poster Session