Joint co-clustering: Co-clustering of genomic and clinical bioimaging data

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Colorectal cancer (CRC) is among the three most commonly diagnosed cancers and one of the major causes of cancer-related morbidity and mortality. Despite the discovery of several predictive biomarkers, the 5-year survival rate for metastatic CRC is 15%. A ...

ZNF93 is a primate-restricted Krüppel-associated box zinc finger protein responsible for repressing 20- to 12-My-old L1 transposable elements. Here, we reveal that ZNF93 also regulates the key cancer driver APOBEC3B—a mutagenic enzyme linked to tumorigenes ...

Genome-wide chromatin conformation capture assays provide formidable insights into the spatial organization of genomes. However, due to the complexity of the data structure, their integration in multi-omics workflows remains challenging. We present data st ...

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Significance: Fluorescence guidance is used clinically by surgeons to visualize anatomical and/or physiological phenomena in the surgical field that are difficult or impossible to detect by the naked eye. Such phenomena include tissue perfusion or molecula ...

The ability of cancer cells to change and adapt poses a critical challenge to identifying curative solutions. Tumor evolution has been extensively studied from a genetic perspective, to guide clinicians in selecting the most appropriate therapeutic option ...

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different experimen ...

Geometric properties of lattice quantum gravity in two dimensions are studied numerically via Monte Carlo on Euclidean Dynamical Triangulations. A new computational method is proposed to simulate gravity coupled with fermions, which allows the study of int ...

Interferometric scattering (iSCAT) microscopy enables the label-free observation of biomolecules. Consequently, single-particle imaging and tracking with the iSCAT-based method known as mass photometry (MP) is a growing area of study. However, establishing ...

Atomic force microscopy (AFM) is a widely used imaging tool for obtaining a variety of information for a range of samples. Although it was initially intended to serve as a method of observing very flat solid surfaces, its use expanded into several other fi ...

Fluorescence confocal laser-scanning microscopy (LSM) is one of the most popular tools for life science research. This popularity is expected to grow thanks to single-photon array detectors tailored for LSM. These detectors offer unique single-photon spati ...

Fundamental properties of light unavoidably impose features on images collected using fluorescence microscopes. Accounting for these features is often critical in quantitatively interpreting microscopy images, especially those gathering information at scal ...

Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challenging w ...

EncodingActs investigates how computational methods can facilitate the transmission of multifaceted knowledge within intangible cultural heritage (ICH). ICH, characterized by living, tacit, yet complex epistemic systems, is conventionally viewed as challen ...

We present a combination technique based on mixed differences of both spatial approximations and quadrature formulae for the stochastic variables to solve efficiently a class of optimal control problems (OCPs) constrained by random partial differential equ ...

After decades of technological advancements, high-speed atomic force microscopy (HS-AFM) has emerged as a powerful technique for visualizing dynamic processes. At the nanoscale, the AFM provides valuable insights into the sample by sensing minute interacti ...

As the fundamental machinery orchestrating cellular functions, proteins influence the state of every cell profoundly. As cells exhibit significant variations from one to another, analyzing the proteome on a single-cell level is imperative to unravel their ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

Situated in the intersection of audiovisual archives, computational methods, and immersive interactions, this work probes the increasingly important accessibility issues from a two-fold approach. Firstly, the work proposes an ontological data model to hand ...

There is a growing recognition that electronic band structure is a local property of materials and devices, and there is steep growth in capabilities to collect the relevant data. New photon sources, from small-laboratory-based lasers to free electron lase ...

Joint co-clustering: Co-clustering of genomic and clinical bioimaging data

Chattez avec Graph Search

Abstract 4588: Cell states and resistance in colorectal cancer: What can we learn from patient-derived organoids?

Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B

Orchestrating chromosome conformation capture analysis with Bioconductor

The role of computational methods in cardiovascular medicine: a narrative review

Subsurface fluorescence time-of-flight imaging using a large-format single-photon avalanche diode sensor for tumor depth assessment

Nongenetic evolution of the tumor: from challenges to new therapeutic opportunities

The multimodality cell segmentation challenge: toward universal solutions

Hausdorff dimension of fermions on a random lattice

Surface passivation and functionalisation for mass photometry

Advancements in Nanomechanical Characterization and Biomolecular Imaging with Atomic force Microscopy

Compact and effective photon-resolved image scanning microscope

Fluorescence microscopy: A statistics-optics perspective

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

EncodingActs: Modeling, Representing and Transmitting Embodied Knowledge in Traditional Martial Arts

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Advances in High-Speed, Multiparametric Atomic Force Microscopy

Development of tools and methods for protein identification: From single molecules to in vivo applications

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives

Transfer learning application of self-supervised learning in ARPES