Results 91 to 100 of about 13,471 (129)

Cortical morphometric inverse divergence in attention-deficit/hyperactivity disorder correlates with cell-type-specific, laminar-specific and developmental transcriptomic signatures. [PDF]

Psychol Med
Zeng Y, Yang L, Cui Z, Cao Q.
europepmc   +1 more source

Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap. [PDF]

Proc Natl Acad Sci U S A
Deng C, Ma X, Lu H, Zhao H, Ming J, Wang T.   +5 more
europepmc   +1 more source

Metappuccino: large language model-driven reconstruction of sequence read archive metadata for cancer research. [PDF]

Bioinformatics
Hak F, Marchet C, Gautheret D, Gallopin M.   +3 more
europepmc   +1 more source

Generative AI in drug repurposing and biomarker discovery: a multimodal approach. [PDF]

Front Bioinform
Saranya K, Joseph ER, Kalaiarasi T, Karthiga M.   +3 more
europepmc   +1 more source

Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability. [PDF]

Sci Data
Vogt L, Strömert P, Matentzoglu N, Karam N, Konrad M, Prinz M, Baum R.   +6 more
europepmc   +1 more source

An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks. [PDF]

Sci Data
Kirchner F, Wieland DCF, Irvine S, Schimek S, Reimers J, Aversa R, Boubnov A, Lucas C, Flenner S, Greving I, Marinho AL, Wong TM, Willumeit-Römer R, Eschke C, Zeller-Plumhoff B.   +14 more
europepmc   +1 more source

Ontology development and use for cholangiocarcinoma risk factors and predictions: a term enrichment data analysis and machine learning classification. [PDF]

J Biomed Semantics
Pengput A, Diehl AD.
europepmc   +1 more source

Identification of suicide brain transcriptomic signatures using meta-analysis of multiple cohorts. [PDF]

Transl Psychiatry
Sokolov AV, Lafta MS, Jokinen J, Schiöth HB.   +3 more
europepmc   +1 more source

Harnessing AI in prosthodontics and implant dentistry: An umbrella review of systematic evidence. [PDF]

J Prosthodont
Alfaraj A, Limones Á, Ahmad S, Aljubairah F, Albalaw S, Albesher M, Alghamdei B, Lin WS.   +7 more
europepmc   +1 more source

Meta-analysis, WGCNA, and machine learning converge on a four-gene biomarker panel for heat stress tolerance in Solanum lycopersicum. [PDF]

Sci Rep
Karimi-Fard A.
europepmc   +1 more source