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(25)
Proteomics
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Mus musculus
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pride
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Brain
(1)
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Mass Spectrometry
(1)
Shotgun proteomics
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Publication Date
2021
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2025
(8)
2022
(6)
2023
(5)
2024
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2020
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2021
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2017
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Lab affiliation
NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing 400016, China;
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A novel risk score model based on five angiogenesis-related long non-coding RNAs for bladder urothelial carcinoma.
Not available
S-EPMC9019982
|
biostudies-literature
Cite
Deep Medullary Vein and MRI Markers Were Related to Cerebral Hemorrhage Subtypes.
Not available
S-EPMC10526710
|
biostudies-literature
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SEPT9_v2, frequently silenced by promoter hypermethylation, exerts anti-tumor functions through inactivation of Wnt/β-catenin signaling pathway via miR92b-3p/FZD10 in nasopharyngeal carcinoma cells.
Not available
S-EPMC7059696
|
biostudies-literature
Cite
Clinical characteristics of Gram-negative and Gram-positive bacterial infection in acute cholangitis: a retrospective observational study.
Not available
S-EPMC8935737
|
biostudies-literature
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Establishment of a prognostic signature based on fatty acid metabolism genes in HCC associated with hepatitis B.
Not available
S-EPMC10644542
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biostudies-literature
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UTRN as a potential biomarker in breast cancer: a comprehensive bioinformatics and in vitro study.
Not available
S-EPMC10987506
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biostudies-literature
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Nomograms for Predicting Disease-Free Survival Based on Core Needle Biopsy and Surgical Specimens in Female Breast Cancer Patients with Non-Pathological Complete Response to Neoadjuvant Chemotherapy.
Not available
S-EPMC9965597
|
biostudies-literature
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Lysophosphatidic acid receptor 6 regulated by miR-27a-3p attenuates tumor proliferation in breast cancer.
Not available
S-EPMC8885522
|
biostudies-literature
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Development and Assessment of a Novel Core Biopsy-Based Prediction Model for Pathological Complete Response to Neoadjuvant Chemotherapy in Women with Breast Cancer.
Not available
S-EPMC9867383
|
biostudies-literature
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A prognostic model integrating radiomics and deep learning based on CT for survival prediction in laryngeal squamous cell carcinoma.
Not available
S-EPMC12357885
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biostudies-literature
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