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ProteomicsReliability of Serum-Derived Connectome Indicators in Identifying Cirrhosis
Patients with cirrhosis are at a relatively high risk of developing complications, such as hepatic decompensation and hepatocellular carcinoma. Identifying cirrhosis in patients is essential in clinical practice because of the need to control disease progression and select different treatment strateg...
ORGANISM(S): Homo sapiens (Human) 
2025-07-23 | PXD055743 | Pride
Connectome strategy  proteomics  open search  post-translational modifications  peptide spectral matches 
GenomicsA connectome and transcriptome identity shift through a single transcription factor isoform
A connectome and transcriptome identity shift through a single transcription factor isoform
PRJNA1490542 | ENA
UnknownToward an MRI-Based Mesoscale Connectome of the Squid Brain.
Not available
S-EPMC6974791 | biostudies-literature
UnknownMetric comparison of connectome-based lesion-symptom mapping in post-stroke aphasia.
Not available
S-EPMC11420983 | biostudies-literature
UnknownThe fly connectome reveals a path to the effectome.
Not available
S-EPMC11446844 | biostudies-literature
UnknownInformation flow, cell types and stereotypy in a full olfactory connectome.
Not available
S-EPMC8298098 | biostudies-literature
TranscriptomicsA connectome and transcriptome identity shift through a single transcription factor isoform
The brain exhibits remarkable neuronal diversity. The sheer number of cell types emerging from extensive transcriptional, morphological, and connectome datasets compels the question of how the brain is capable of generating so many unique identities. Proper neuronal specification and subsequent feat...
ORGANISM(S): Drosophila melanogaster 
2026-07-06 | GSE337655 | GEO
UnknownThe confound of head position in within-session connectome fingerprinting in infants.
Not available
S-EPMC9878437 | biostudies-literature
UnknownAn algorithm to predict the connectome of neural microcircuits.
Not available
S-EPMC4597796 | biostudies-literature
UnknownEvaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
Not available
S-EPMC4701213 | biostudies-literature
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