H. Sailem

发表

Analysis of live cell images: Methods, tools and opportunities.

Jens Rittscher, Raghu Machiraju, Gustavo Rohde, 2017, Methods.

Inferring signalling networks from images

C. Bakal, H. Sailem, L. Evans, 2013, Journal of microscopy.

KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens

L. Pelkmans, J. Rittscher, H. Sailem, 2019, bioRxiv.

A Screen for Morphological Complexity Identifies Regulators of Switch-like Transitions between Discrete Cell Shapes

Stephen T. C. Wong, C. Bakal, N. Perrimon, 2013, Nature Cell Biology.

How cells explore shape space: A quantitative statistical perspective of cellular morphogenesis

C. Bakal, H. Sailem, Zheng Yin, 2014, BioEssays : news and reviews in molecular, cellular and developmental biology.

PERK-dependent reciprocal crosstalk between ER and non-centrosomal microtubules coordinates ER architecture and cell shape

C. Bakal, H. Sailem, Miguel Sánchez-Álvarez, 2021, bioRxiv.

Cell shape and the microenvironment regulate nuclear translocation of NF-κB in breast epithelial and tumor cells.

Chris Bakal, Tongli Zhang, C. Bakal, 2015, Molecular systems biology.

ShapoGraphy: A User-Friendly Web Application for Creating Bespoke and Intuitive Visualisation of Biomedical Data

H. Sailem, Muhammed Khawatmi, Y. Steux, 2022, Frontiers in Bioinformatics.

Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics

C. Bakal, H. Sailem, 2017, Genome research.

Identification of molecular targets for the targeted treatment of gastric cancer using dasatinib

B. Kuster, S. Knapp, S. Heinzlmeir, 2020, Oncotarget.

HighVia—A Flexible Live-Cell High-Content Screening Pipeline to Assess Cellular Toxicity

S. Müller, D. Drewry, H. Sailem, 2020, SLAS discovery : advancing life sciences R & D.

KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens

Jens Rittscher, Lucas Pelkmans, Heba Sailem, 2019, bioRxiv.

Efficient Bayesian inference for mechanistic modelling with high-throughput data

R. Baker, H. Sailem, Simon Martina-Perez, 2022, bioRxiv.

High-Content Imaging to Phenotype Human Primary and iPSC-Derived Cells.

Lorenzo Veschini, Heba Sailem, Disha Malani, 2020, Methods in molecular biology.

Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning

Jens Rittscher, Andrew Zisserman, Heba Sailem, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Visualizing quantitative microscopy data: History and challenges

Sam Cooper, Chris Bakal, Heba Z. Sailem, 2016, Critical reviews in biochemistry and molecular biology.

Molecular Systems Biology Peer Review Process File Cell Shape and the Microenvironment Regulate Nuclear Translocation of Nf-κ B in Breast Epithelial and Tumor Cells Transaction Report

Chris Bakal, Tongli Zhang, C. Bakal, 2022 .

Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity

Chris Bakal, Heba Sailem, C. Bakal, 2014, Open Biology.

DeepScratch: Single-cell based topological metrics of scratch wound assays

Jens Rittscher, Avelino Javer, Heba Z. Sailem, 2020, Computational and structural biotechnology journal.

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images

Angeles Montero Fernandez, M. Moffatt, E. Karteris, 2023, ArXiv.

Differential RNAi screening provides insights into the rewiring of signalling networks during oxidative stress.

C. Bakal, H. Sailem, Mar Arias Garcia, 2012, Molecular bioSystems.

Proteomics profiling of interactome dynamics by colocalisation analysis (COLA)† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c6mb00701e Click here for additional data file. Click here for additional data file.

Chris Bakal, Claus Jørgensen, Faraz K Mardakheh, 2016, Molecular bioSystems.

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples

Natalia Garcia Martin, K. Sirinukunwattana, D. Wedge, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology–Genomic Integration Analysis

Chris Bakal, Mitch Dowsett, Heba Sailem, 2016, PLoS medicine.

Morphological landscape of endothelial cell networks reveals a functional role of glutamate receptors in angiogenesis

A. Al Haj Zen, H. Sailem, 2020, Scientific Reports.

Multi-Parametric Profiling of Endothelial Cell Networks Reveals Functional Role of Glutamate Receptors in Angiogenesis

H. Sailem, Ayman Al Haj Zen, 2019, bioRxiv.

ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data

H. Sailem, Muhammed Khawatmi, Y. Steux, 2021, bioRxiv.

Visualizing cellular imaging data using PhenoPlot

Chris Bakal, Heba Z. Sailem, C. Bakal, 2015, Nature Communications.

Cell shape and the microenvironment regulate nuclear translocation of NF-κB in breast epithelial and tumor cells.

C. Bakal, H. Sailem, Julia E. Sero, 2015, Molecular systems biology.

Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.

Angeles Montero Fernandez, M. Moffatt, E. Karteris, 2023, Artificial Intelligence in Medicine.

DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks

Jens Rittscher, Heba Sailem, Andrew Torr, 2020, MIUA.

Molecular Systems Biology Peer Review Process File Cell Shape and the Microenvironment Regulate Nuclear Translocation of Nf-κ B in Breast Epithelial and Tumor Cells Transaction Report

C. Bakal, H. Sailem, Julia E. Sero, 2022 .