Reproducible image-based profiling with Pycytominer
E Serrano, SN Chandrasekaran, D Bunten, KI Brewer… - Ar**v, 2024 - pmc.ncbi.nlm.nih.gov
Advances in high-throughput microscopy have enabled the rapid acquisition of large
numbers of high-content microscopy images. Whether by deep learning or classical …
numbers of high-content microscopy images. Whether by deep learning or classical …
In-vivo neuronal dysfunction by Aβ and tau overlaps with brain-wide inflammatory mechanisms in Alzheimer's disease
LM Sanchez-Rodriguez, AF Khan… - Frontiers in aging …, 2024 - frontiersin.org
The molecular mechanisms underlying neuronal dysfunction in Alzheimer's disease (AD)
remain uncharacterized. Here, we identify genes, molecular pathways and cellular …
remain uncharacterized. Here, we identify genes, molecular pathways and cellular …
Transcriptionally Conditional Recurrent Neural Network for De Novo Drug Design
Y Matsukiyo, A Tengeiji, C Li… - Journal of Chemical …, 2024 - ACS Publications
Computational molecular generation methods that generate chemical structures from gene
expression profiles have been actively developed for de novo drug design. However, most …
expression profiles have been actively developed for de novo drug design. However, most …
Transcriptomic signatures of Aβ-and tau-induced neuronal dysfunction reveal inflammatory processes at the core of Alzheimer's disease pathophysiology
Molecular mechanisms enabling pathology-induced neuronal dysfunction in Alzheimer's
disease (AD) remain elusive. Here, we use mechanistic computational models to infer the …
disease (AD) remain elusive. Here, we use mechanistic computational models to infer the …
[PDF][PDF] Dex-Benchmark: datasets and code to evaluate algorithms for transcriptomics data analysis
Many tools and algorithms are available for analyzing transcriptomics data. These include
algorithms for performing sequence alignment, data normalization and imputation …
algorithms for performing sequence alignment, data normalization and imputation …
Using Phenotypic Screening to Uncover the Full Potential of Polypharmacology
A Nueda - Polypharmacology: Strategies for Multi‐Target Drug …, 2025 - Wiley Online Library
Phenotypic screening and, more generally, phenotypic drug discovery (PDD) have proven
their potential to capture novel polypharmacology‐based mechanisms of action (MoA) that …
their potential to capture novel polypharmacology‐based mechanisms of action (MoA) that …
Cross-disease modeling of peripheral blood identifies biomarkers of type 2 diabetes predictive of Alzheimer's disease
Type 2 diabetes (T2D) is a significant risk factor for Alzheimer's disease (AD). Despite
multiple studies reporting this connection, the mechanism by which T2D exacerbates AD is …
multiple studies reporting this connection, the mechanism by which T2D exacerbates AD is …
Exploring cutting-edge strategies for drug repurposing in female cancers-An insight into the tools of the trade.
KS Satish, GR Saraswathy, G Ritesh… - Progress in Molecular …, 2024 - europepmc.org
Female cancers, which include breast and gynaecological cancers, represent a significant
global health burden for women. Despite advancements in research pertinent to unearthing …
global health burden for women. Despite advancements in research pertinent to unearthing …
A Deep Learning Approach for Single-Cell Perturbation Prediction Using Small Molecule Chemical Structures
C Zhang, F Bi, J Zhang, G Chen - International Symposium on Neural …, 2024 - Springer
In this study, we develop a deep learning framework aimed at predicting the impacts of
chemical perturbations on individual cells, emphasizing the encoding of small molecular …
chemical perturbations on individual cells, emphasizing the encoding of small molecular …