Results 61 to 70 of about 1,139,776 (289)

Multiplex single‐cell profiling of putative cancer stem cell markers ALDH1, SOX9, SOX2, CD44, CD133 and CD15 in endometrial cancer

open access: yesMolecular Oncology, EarlyView.
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien   +7 more
wiley   +1 more source

Sampling Social Media: Supporting Information Retrieval from Microblog Data Resellers with Text, Network, and Spatial Analysis

open access: yesHawaii International Conference on System Sciences, 2018
This paper presents a computationally assisted method for scaling researcher expertise to large, online social media datasets in which access is constrained and costly.
C. Buntain   +2 more
semanticscholar   +1 more source

AshesiBot: An automated chatbot for handling Ashesi Facebook Messenger platform [PDF]

open access: yes, 2019
Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2019As each day passes, new ways of improving our lives through ...
Katena, Primerose Ruvimbo
core  

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

open access: yesMolecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park   +6 more
wiley   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song   +13 more
wiley   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

open access: yesMolecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim   +8 more
wiley   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 more
wiley   +1 more source

Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses [PDF]

open access: yesarXiv, 2017
We present a case-study demonstrating the usefulness of Bayesian hierarchical mixture modelling for investigating cognitive processes. In sentence comprehension, it is widely assumed that the distance between linguistic co-dependents affects the latency of dependency resolution: the longer the distance, the longer the retrieval time (the distance-based
arxiv  

Query Expansion Using Conceptual Knowledge in Computer Science

open access: yesAdvanced Science Letters, 2018
Traditional information retrieval systems retrieve documents based on keyword based matching, thereby incapable to provide results according to user information needs. These systems do not consider the semantic relationships among the user query keywords,
M. A. Raza   +5 more
semanticscholar   +1 more source

PENERAPAN LATENT SEMANTIC INDEXING PADA PROSES KNOWLEDGE RETRIEVAL DALAM PENGEMBANGAN KNOWLEDGE MANAGEMENT SYSTEM [PDF]

open access: yes, 2016
Agar sebuah Knowledge Management System (KMS) dapat diaplikasikan dengan baik, proses knowledge retrieval pada KMS harus berjalan dengan efektif.
Yuniarsih, Arum
core  

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