Results 41 to 50 of about 127,298 (253)
Topological Data Analysis for Speech Processing
We apply topological data analysis (TDA) to speech classification problems and to the introspection of a pretrained speech model, HuBERT. To this end, we introduce a number of topological and algebraic features derived from Transformer attention maps and embeddings.
Eduard Tulchinskii +7 more
openaire +3 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Probing omics data via harmonic persistent homology
Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high-dimensional multi-omics data.
Davide Gurnari +5 more
doaj +1 more source
Chromatic Topological Data Analysis
Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among multiple configurations, each distinguished by a color.
Sebastiano Cultrera di Montesano +3 more
openaire +2 more sources
Classification based on Topological Data Analysis
تحليل البيانات الطوبولوجية (TDA) هو مجال ناشئ يهدف إلى اكتشاف المعلومات الطوبولوجية المخفية في مجموعة البيانات. تم استخدام أدوات TDA بشكل شائع لإنشاء مرشحات وواصفات طوبولوجية لتحسين طرق التعلم الآلي (ML). تقترح هذه الورقة خوارزمية تطبق TDA مباشرة على مشاكل التصنيف متعددة الفئات، حتى مجموعات البيانات غير المتوازنة، دون أي مرحلة أخرى من تعلم الآلة. أنشأت
Rolando Kindelan +3 more
openaire +2 more sources
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Feasibility of topological data analysis for event-related fMRI [PDF]
Recent fMRI research shows that perceptual and cognitive representations are instantiated in high-dimensional multivoxel patterns in the brain. However, the methods for detecting these representations are limited. Topological data analysis (TDA) is a new
Cameron T. Ellis +4 more
doaj +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Topological Data Analysis of Spatial Systems
In this chapter, we discuss applications of topological data analysis (TDA) to spatial systems. We briefly review the recently proposed level-set construction of filtered simplicial complexes, and we then examine persistent homology in two cases studies: street networks in Shanghai and hotspots of COVID-19 infections.
Michelle Feng +2 more
openaire +2 more sources

