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Unknown
(43)
Proteomics
(3)
Transcriptomics
(1)
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Homo sapiens
(2)
Setaria italica
(1)
Aspergillus fumigatus
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iProX
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biostudies-arrayexpress
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pride
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Mass Spectrometry
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Shotgun proteomics
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Publication Date
2024
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2012
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2023
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Study type
RNA-seq of coding RNA
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Release Date
2025
(11)
2023
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2022
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2021
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2024
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2020
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2018
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2012
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2026
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Lab affiliation
Department for Molecular and Applied Microbiology Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute Jena (Leibniz-HKI) Jena, Germany
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Comparative Analysis of Quan and Watanabe Pan-Coronavirus Assays for Bat Coronavirus Diversity in Sarawak, East Malaysia.
Not available
S-EPMC12070664
|
biostudies-literature
Cite
Pan-cancer analysis identifies DDX56 as a prognostic biomarker associated with immune infiltration and drug sensitivity.
Not available
S-EPMC9768347
|
biostudies-literature
Cite
MicroRNA-1246 Mediates Drug Resistance and Metastasis in Breast Cancer by Targeting NFE2L3.
Not available
S-EPMC8671458
|
biostudies-literature
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Identification of an Immune-Related Prognostic Predictor in Hepatocellular Carcinoma.
Not available
S-EPMC7542239
|
biostudies-literature
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Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia.
Not available
S-EPMC8239147
|
biostudies-literature
Cite
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.
Not available
S-EPMC9900214
|
biostudies-literature
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Intercellular communication atlas reveals Oprm1 as a neuroprotective factor for retinal ganglion cells.
Not available
S-EPMC10462234
|
biostudies-literature
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The role of adherent-to-suspension transition factors in clear cell renal cell carcinoma progression: a comprehensive analysis.
Not available
S-EPMC12009395
|
biostudies-literature
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Dendrobium naungmungense (Orchidaceae, Dendrobieae), a new species from Kachin State, Myanmar.
Not available
S-EPMC5799790
|
biostudies-literature
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RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.
Not available
S-EPMC10796178
|
biostudies-literature
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