Results 141 to 150 of about 655,112 (194)

On the Size of Chromatic Delaunay Mosaics. [PDF]

Discrete Comput Geom
Biswas R, Montesano SCD, Draganov O, Edelsbrunner H, Saghafian M.   +4 more
europepmc   +1 more source

Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I point-mutation ligandome evaluation. [PDF]

Sci Rep
Delaunay A, McGibbon M, Djermani B, Gorbushin N, Chaves García-Mascaraque S, Rayment I, Kizhvatov I, Petit C, Lang M, Beguir K, Sahin U, Copoiu L, Lopez Carranza N, Tovchigrechko A.   +13 more
europepmc   +1 more source

Pathology-prior driven substructure-aware graph neural network for whole slide image classification. [PDF]

Sci Rep
Wu J, Jiang D.
europepmc   +1 more source

A surface morphology-based inference method for the cell wall elasticity profile in tip-growing cells. [PDF]

PLoS Comput Biol
Xu R, Vidali L, Wu M.
europepmc   +1 more source

Histolytics: A panoptic spatial analysis framework for interpretable histopathology. [PDF]

Comput Struct Biotechnol J
Lehtonen O, Nordlund N, Salloum S, Kalliala I, Virtanen A, Hautaniemi S.   +5 more
europepmc   +1 more source

Kandinsky: Enabling neighbourhood analysis of spatial omics data for functional insights on cell ecosystems. [PDF]

EXO
Andrei P, Grieco M, Acha-Sagredo A, Becchi T, Dhami P, Fung K, Rodriguez-Justo M, Cereda M, Ciccarelli FD.   +8 more
europepmc   +1 more source

Spartan: activation-aware framework for spatial domain and variable gene discovery

Faiz MFI, Jokl E, Jennings R, Piper Hanley K, Sharrocks A, Iqbal M, Baker SM.   +6 more
europepmc   +1 more source

Graph convolutional networks for inferring cell-cell communication from spatial transcriptomics data. [PDF]

Bioinform Adv
Kouznetsov R, Loper J, Regier J.
europepmc   +1 more source

TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues. [PDF]

Nat Commun
Yu Y, Wang S, Li J, Yu M, McCrocklin K, Kang JQ, Ma A, Ma Q, Xu D, Wang J.   +9 more
europepmc   +1 more source

Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology. [PDF]

J Pathol Clin Res
Hu H, Tan T, Liu Y, Liang W, Zhang W, Zhang J, Cui J, Song J, Li X.   +8 more
europepmc   +1 more source