Prof. Valentina Boeva — Research Profile
ETH Zurich · Department of Computer Science
About
취리히 연방공과대학교 컴퓨터과학과 소속 Valentina Boeva 교수의 등록된 연구 분야는 bioinformatics, biomedical data analysis algorithms, computational genomics, epigenetics, cancer research, machine learning입니다.
Research keywords
Recent papers
- GRASS-MIL: graph-based representation and discovery of phenotype-associated spatial structures with multiple instance learningPreprintbioRxiv (Cold Spring Harbor Laboratory) · Oct 9
- DistillPath: An Efficient 22M Distilled Pathology Encoder Approaching Large Foundation Model PerformancePreprintarXiv (Cornell University) · Aug 18
- CDState Resolves Malignant Cell Heterogeneity from Bulk Tumor RNA Sequencing DataCancer Research · Jul 30
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Single-cell and spatial transcriptomics
Maria Brbic 교수 연구실
EPFL · School of Computer and Communication Sciences
What is the future of genomic foundation models in biological research?Cell Systems · Oct 1Charlotte Bunne 교수 연구실
EPFL · School of Computer and Communication Sciences
Latent causal diffusions for single-cell perturbation modelingProceedings of the National Academy of Sciences · Oct 8Pascal Frossard 교수 연구실
EPFL · School of Computer and Communication Sciences
spora: A Unified Multimodal Dataset and Platform for Spatial ProteomicsNewPreprintarXiv (Cornell University) · Oct 15
Other labs in this department
- Adrian Perrig 교수 연구실
system and network security, networks, internet architecture
- Ana Klimovic 교수 연구실
cloud computing, operating systems, distributed systems, storage systems, computer architecture
- Andreas Krause 교수 연구실
machine learning, artificial intelligence, reinforcement learning, probabilistic inference
- Angelika Steger 교수 연구실
algorithms, combinatorics, randomization and probabilistic methods, combinatorial models for optimization
- April Yi Wang 교수 연구실
educational technology, human-computer interaction, artificial intelligence in education, collective intelligence and organizational technology, end-user programming, user interface for programming
- Bernhard Schölkopf 교수 연구실
machine learning, causal inference, applications in the sciences