|
0
|
|
Developmental convergence and divergence in human stem cell models of autism.
(nature.com)
|
Gordon A
…
Geschwind DH
Nature
2026-03-01
|
#autism
#transcriptomics
#differentiation
#crispr
#organoid
|
|
0
|
|
Dissecting gene regulatory networks governing human cortical cell fate.
(nature.com)
|
Ding JW
…
Pollen AA
Nature
2026-03-01
|
#transcriptomics
#neurogenesis
#crispr
#differentiation
#developmental
|
|
0
|
|
Neuro-epithelial circuits promote sensory convergence and intestinal immunity.
(nature.com)
|
Zhang W
…
Artis D
Nature
2026-03-01
|
#immunity
#transcriptomics
#intestinal
#inflammation
#helminth
|
|
0
|
|
Rete ridges form via evolutionarily distinct mechanisms in mammalian skin.
(nature.com)
|
Thompson SM
…
Driskell RR
Nature
2026-03-01
|
#transcriptomics
#morphogenesis
#evolution
#epidermal
|
|
0
|
|
BCMA-directed mRNA CAR-T cell therapy for myasthenia gravis: exploratory biomarker analysis of a placebo-controlled phase 2b trial.
(nature.com)
|
Fedak RR
…
Jewell CM
Nature Medicine
2026-03-01
|
#immunotherapy
#autoimmune
#myasthenia gravis
#transcriptomics
#biomarker
|
|
0
|
|
Three-dimensional genome reorganization foreshadows zygotic genome activation in Drosophila.
(nature.com)
|
Maziak N
…
Vaquerizas JM
Nature Genetics
2026-03-01
|
#chromatin
#transcriptomics
#embryogenesis
#modeling
|
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0
|
|
Reconstructing 3D transcriptional organization from spatial transcriptomics reveals consistent oncogenic translocations and developmental dynamics.
(academic.oup.com)
|
Sheng Y
…
Cheng Li S
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#cancer
|
|
0
|
|
Response to "Addressing biases and limitations in feature attribution for circRNA modification profiling".
(academic.oup.com)
|
Li J
…
Zhang Y
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#sequencing
|
|
0
|
|
Stoichiometry-preserving and stochasticity-aware identification of m6A from direct RNA sequencing.
(academic.oup.com)
|
Wang F
…
Zou M
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#sequencing
#methylation
#deep learning
|
|
0
|
|
Multimodal antigenic escape to GPRC5D-targeted T cell engagers in multiple myeloma.
(nature.com)
|
Lee H
…
Bahlis NJ
Nature Medicine
2026-03-01
|
#immunotherapy
#cancer
#transcriptomics
#mutation
#amr
|
|
0
|
|
A deep adversarial network model for multi-task analysis of single-cell omics data.
(academic.oup.com)
|
Xu J
…
Zeng X
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#integration
#denoising
|
|
0
|
|
Uncovering causal relationships in single-cell omic studies with causarray.
(academic.oup.com)
|
Du JH
…
Roeder K
Briefings in Bioinformatics
2026-03-01
|
#causal inference
#single-cell
#transcriptomics
#crispr
#confounding
|
|
0
|
|
Spatial-ZEDNet : a unified spatial transcriptomics framework for detecting differential gene activation and expression.
(academic.oup.com)
|
Egbon OA
…
Anchang B
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#differential expression
#inflammation
#modeling
|
|
0
|
|
Computational framework for therapeutic target discovery via perturbation simulation: application to cystic fibrosis airway disease.
(academic.oup.com)
|
Sun G
…
Zhou YH
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#computational modeling
#drug discovery
#systems biology
#cystic fibrosis
|
|
0
|
|
A cancer-type-aware framework for robust multimodal survival prediction under missing modalities.
(academic.oup.com)
|
Song Y
…
Lin M
Briefings in Bioinformatics
2026-03-01
|
#prognosis
#cancer
#modeling
#multimodal
#transcriptomics
|
|
0
|
|
ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.
(academic.oup.com)
|
Jalal W
…
Rahman MS
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#aging
#machine learning
#mortality
|
|
0
|
|
SpatialDG: a novel spatial domain identification method for spatially resolved transcriptomics data based on dual-graph neural network.
(academic.oup.com)
|
Wu J
…
Izzi V
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#modeling
#tissue
|
|
0
|
|
AICellType: a large language model-based platform for accurate cell type annotation.
(academic.oup.com)
|
Cheng C
…
Jin M
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#machine learning
#annotation
|
|
0
|
|
The changing landscape of gene expression analysis.
(academic.oup.com)
|
Zhao Q
…
Palpant NJ
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#sequencing
#bioinformatics
#clustering
|
|
0
|
|
Integrating feature selection with unsupervised deep embedding for clustering single-cell RNA-seq data.
(academic.oup.com)
|
Zhong C
…
Wei Z
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#sequencing
#modeling
|
|
0
|
|
scGPD: single-cell informed gene panel design for targeted spatial transcriptomics.
(academic.oup.com)
|
Guo Y
…
Zhao H
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#single-cell
#feature selection
#deep learning
|
|
0
|
|
Quantifying transcript complexity via the condition number of gene-specific random matrix.
(academic.oup.com)
|
Zhang B
…
Zou M
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#sequencing
#quantification
#splicing
|
|
0
|
|
scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data.
(academic.oup.com)
|
Wang J
…
Zheng CH
Briefings in Bioinformatics
2026-03-01
|
#clustering
#transcriptomics
#sequencing
#modeling
|
|
0
|
|
The splice of life: how alternative splicing shapes regulatory and phenotypic evolution.
(link.springer.com)
|
Hunter CE
…
Xing Y
The EMBO Journal
2026-03-01
|
#transcriptomics
#splicing
#evolution
#proteomics
|
|
0
|
|
Improving gene isoform quantification with miniQuant.
(nature.com)
|
Li H
…
Au KF
Nature Biotechnology
2026-03-01
|
#transcriptomics
#sequencing
#quantification
#isoforms
#differentiation
|
|
0
|
|
DuaST: an integrated deep learning framework for spatial transcriptomics with cross-branch interaction.
(academic.oup.com)
|
Liang X
…
Luo J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#deep learning
#integration
|
|
0
|
|
stVCR: spatiotemporal dynamics of single cells.
(nature.com)
|
Peng Q
…
Li T
Nature Methods
2026-03-01
|
#transcriptomics
#modeling
#differentiation
#migration
#proliferation
|
|
0
|
|
STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks.
(academic.oup.com)
|
Wang T
…
Chen J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#imputation
#deep learning
#gene expression
|
|
0
|
|
Computational identification of lineage-committed precursors in mammalian organogenesis reveals a novel hematopoietic enhancer regulating Bhlhe41 expression.
(academic.oup.com)
|
Jin L
…
Yu Y
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#hematopoiesis
#epigenomics
#developmental
#cis-regulation
|
|
0
|
|
A causal glycerophospholipid-IL-18R1-CD9 axis connects lipid metabolism and T-cell activation in atopic dermatitis.
(academic.oup.com)
|
Zhang PA
…
Li J
Briefings in Bioinformatics
2026-03-01
|
#atopic dermatitis
#metabolism
#immunity
#transcriptomics
#inflammation
|
|
0
|
|
Co-expression network multivariate regression.
(academic.oup.com)
|
Lee H
…
Chen S
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#co-expression
#regression
#multivariate
|
|
0
|
|
NyxBind: enhancing deep neural representations for transcription factor binding site prediction via contrastive learning.
(academic.oup.com)
|
Yang X
…
Zhang Y
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#sequencing
#machine learning
|
|
0
|
|
Convergent evolution of scavenger cell development at brain borders.
(nature.com)
|
Gaudi AU
…
Hogan BM
Nature
2026-03-01
|
#immunity
#evolution
#transcriptomics
#differentiation
#macrophage
|
|
0
|
|
Single-cell atlas of the developing Down syndrome brain cortex.
(nature.com)
|
Lattke M
…
De Paola V
Nature Medicine
2026-03-01
|
#transcriptomics
#neurodevelopment
#down syndrome
#chromatin
#intellectual disability
|
|
0
|
|
JMJD2 regulates enhancer-promoter interactions via biomolecular condensate formation.
(nature.com)
|
Jiang S
…
Ding J
Nature Genetics
2026-03-01
|
#transcriptomics
#chromatin
#condensates
#proteomics
#reprogramming
|
|
0
|
|
STORIES: learning cell fate landscapes from spatial transcriptomics using optimal transport.
(nature.com)
|
Huizing GJ
…
Cantini L
Nature Methods
2026-03-01
|
#transcriptomics
#developmental biology
#trajectory inference
#optimal transport
#cell differentiation
|
|
0
|
|
SpaFun: discovering domain-specific spatial expression patterns and new disease-relevant genes using functional principal component analysis.
(academic.oup.com)
|
Jiang X
…
Xu L
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#cancer
|
|
0
|
|
Integrative multi-omics analysis reveals microbiota alterations and clinical indicators predictive of pulmonary fibrosis progression following SARS-CoV-2 infection.
(academic.oup.com)
|
Liu C
…
Chen Y
Briefings in Bioinformatics
2026-03-01
|
#metagenomics
#microbiome
#transcriptomics
#fibrosis
#modeling
|
|
0
|
|
Advances in predicting omics profiles from imaging data.
(academic.oup.com)
|
Beachum AH
…
Xu L
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#imaging
#deep learning
#prediction
#genomics
|
|
0
|
|
Integrating and mapping single-cell transcriptomics across the entire gene expression space.
(academic.oup.com)
|
Ding S
…
Ming J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#batch effect
#integration
#deep learning
|
|
0
|
|
Benchmarking cell-type-specific spatially variable gene detection methods.
(academic.oup.com)
|
Yao H
…
Fang Z
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#benchmarking
#cell-type
#clustering
|
|
0
|
|
GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.
(academic.oup.com)
|
Wang T
…
Chen J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#sequencing
#clustering
|
|
0
|
|
SpaJoint: a transfer learning method for spatial transcriptomics deconvolution.
(academic.oup.com)
|
Li Z
…
Xu X
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#deconvolution
#transfer learning
#spatial analysis
#cell typing
|
|
0
|
|
BACON: decoding the dynamic social networks of complex microbial communities at single-cell resolution.
(academic.oup.com)
|
Qu W
…
Shen Y
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#microbiome
#quorum sensing
#single-cell
#virulence
|
|
0
|
|
Ancestry and somatic profile indicate acral melanoma origin and prognosis.
(nature.com)
|
Basurto-Lozada P
…
Robles-Espinoza CD
Nature
2026-03-01
|
#melanoma
#transcriptomics
#ancestry
#cancer
#mutation
|
|
0
|
|
Atlas-guided discovery of transcription factors for T cell programming.
(nature.com)
|
Chung HK
…
Wang W
Nature
2026-03-01
|
#transcription factor
#transcriptomics
#immunity
#crispr
#cancer
|
|
0
|
|
Biological insights into schizophrenia from ancestrally diverse populations.
(nature.com)
|
Bigdeli TB
…
Roussos P
Nature
2026-03-01
|
#genome-wide association
#schizophrenia
#transcriptomics
#polygenic
|
|
0
|
|
Spotting a unicorn: spatial transcriptome analysis of the eyelid reveals gene regulatory networks enriched in Moll glands.
(academic.oup.com)
|
Konecny T
…
Schneider MR
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#metabolism
#gene regulation
|
|
0
|
|
BEASTsim-a benchmarking and analysis platform for spatial transcriptomics simulations.
(academic.oup.com)
|
Garcia-Carpintero TB
…
Rottger R
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#simulation
#benchmarking
#modeling
|
|
0
|
|
Multimodal bioinformatic analyses of genome-scale expression beyond gene-centric differential expression.
(academic.oup.com)
|
Nuanpirom J
…
Charoensawan V
Briefings in Bioinformatics
2026-03-01
|
#biomarker
#transcriptomics
#gene expression
#network inference
#single-cell
|