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Spatial transcriptomics (ST) enables transcriptome-wide profiling while preserving the spatial context of tissues, offering unprecedented opportunities to study tissue organization and cell-cell interactions in situ. Despite recent…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Wei Wang , Quoc-Toan Ly , Chong Yu , Jun Bai

Recent years have witnessed remarkable progress in multimodal learning within computational pathology. Existing models primarily rely on vision and language modalities; however, language alone lacks molecular specificity and offers limited…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Minghao Han , Dingkang Yang , Linhao Qu , Zizhi Chen , Gang Li , Han Wang , Jiacong Wang , Lihua Zhang

In order to understand the complexities of cellular biology, researchers are interested in two important metrics: the genetic expression information of cells and their spatial coordinates within a tissue sample. However, state-of-the art…

Machine Learning · Computer Science 2023-11-02 J. Ding , S. N. Zaman , P. Y. Chen , D. Wang

Mapping spatial distributions of transcriptomic cell types is essential to understanding the brain, with its exceptional cellular heterogeneity and the functional significance of its spatial organization. Spatial transcriptomics techniques…

Neurons and Cognition · Quantitative Biology 2023-01-23 Brian Long , Jeremy Miller , The SpaceTx Consortium

Proteins play crucial roles in every cellular process by interacting with each other, with nucleic acids, metabolites, and other molecules. The resulting assemblies can be very large and intricate and pose challenges to experimental…

Biomolecules · Quantitative Biology 2021-03-16 Charlotte W. van Noort , Rodrigo V. Honorato , Alexandre M. J. J. Bonvin

Inferring the structural properties of a protein from its amino acid sequence is a challenging yet important problem in biology. Structures are not known for the vast majority of protein sequences, but structure is critical for…

Machine Learning · Computer Science 2019-10-17 Tristan Bepler , Bonnie Berger

This work reports a new methodology aimed at describing characteristics of protein structural shapes, and suggests a framework in which to resolve or classify automatically such structures into known families. This new approach to protein…

Quantitative Methods · Quantitative Biology 2007-05-23 Marconi Soares Barbosa , Rinaldo Wander Montalvao , Tom Blundell , Luciano da Fontoura Costa

Multispecific antibodies offer transformative therapeutic potential by engaging multiple epitopes simultaneously, yet their efficacy is an emergent property governed by complex molecular architectures. Rational design is often bottlenecked…

Multiplex tissue immunostaining is a technology of growing relevance as it can capture in situ the complex interactions existing between the elements of the tumor microenvironment. The existence and availability of large, annotated image…

Computer Vision and Pattern Recognition · Computer Science 2021-03-09 Daniel Jiménez-Sánchez , Mikel Ariz , Carlos Ortiz-de-Solórzano

The locations of different mRNA molecules can be revealed by multiplexed in situ RNA detection. By assigning detected mRNA molecules to individual cells, it is possible to identify many different cell types in parallel. This in turn enables…

Information Theory · Computer Science 2023-12-08 Axel Andersson , Andrea Behanova , Carolina Wählby , Filip Malmberg

Development and homeostasis in multicellular systems both require exquisite control over spatial molecular pattern formation and maintenance. Advances in spatially-resolved and high-throughput molecular imaging methods such as multiplexed…

Quantitative Methods · Quantitative Biology 2023-03-30 Alex J. Lee , Robert Cahill , Reza Abbasi-Asl

Knowing the location of a protein within the cell is important for understanding its function, role in biological processes, and potential use as a drug target. Much progress has been made in developing computational methods that predict…

Quantitative Methods · Quantitative Biology 2013-08-02 Ramanuja Simha , Hagit Shatkay

In digital pathology, both detection and classification of cells are important for automatic diagnostic and prognostic tasks. Classifying cells into subtypes, such as tumor cells, lymphocytes or stromal cells is particularly challenging.…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Shahira Abousamra , David Belinsky , John Van Arnam , Felicia Allard , Eric Yee , Rajarsi Gupta , Tahsin Kurc , Dimitris Samaras , Joel Saltz , Chao Chen

In the recent years, therapeutic use of antibodies has seen a huge growth, due to their inherent proprieties and technological advances in the methods used to study and characterize them. Effective design and engineering of antibodies for…

Biomolecules · Quantitative Biology 2020-05-08 Francesco Ambrosetti , Zuzana Jandova , Alexandre M. J. J. Bonvin

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims…

Motivation: Understanding the spatial architecture of tissues is essential for decoding the complex interactions within cellular ecosystems and their implications for disease pathology and clinical outcomes. Recent advances in multiplex…

Quantitative Methods · Quantitative Biology 2025-04-28 Junsouk Choi , Jian Kang , Veerabhadran Baladandayuthapani

The structure of proteins is essential for its function. The determination of protein structures is possible by experimental or predicted by computational methods, but also a combination of both approaches is possible. Here, first an…

Other Quantitative Biology · Quantitative Biology 2020-03-03 Gerhard Mayer

Cellular identity and function are linked to both their intrinsic genomic makeup and extrinsic spatial context within the tissue microenvironment. Spatial transcriptomics (ST) offers an unprecedented opportunity to study this, providing in…

Machine Learning · Computer Science 2026-02-16 Rui Yan , Xiaohan Xing , Xun Wang , Zixia Zhou , Md Tauhidul Islam , Lei Xing

High content imaging is needed to catalogue the variety of cellular phenotypes and multi-cellular ecosystems present in metazoan tissues. We recently developed Iterative Bleaching Extends multi-pleXity (IBEX), an iterative immunolabeling…