Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Xinshi Lin"'
Publikováno v:
Cancer Cell International, Vol 20, Iss 1, Pp 1-15 (2020)
Abstract Background LncRNAs play crucial roles in the development of carcinomas. However, the investigation of LINC00662 in Oral squamous cell carcinoma (OSCC) is still elusive. Methods qRT-PCR assay tested the expression levels of LINC00662, hnRNPC
Externí odkaz:
https://doaj.org/article/ca59e6f86a26477eb02d05ab7db06389
Publikováno v:
Cancer Biol Ther
Thyroid carcinoma is the most widespread malignancy in endocrine system with the increasing incidence. Despite of the advanced approaches to the management of thyroid carcinoma, the therapeutic effects remain unpleasant largely due to the radiosensit
Publikováno v:
Cancer Biology & Therapy. 20:1213-1222
It is verified that long non-coding RNAs (lncRNAs) play crucial roles in various cancers. LncRNA LEF1-AS1 is a reported oncogene in colorectal cancer and glioblastoma. In this study, we unveiled that LEF1-AS1 markedly increased in oral squamous cell
Autor:
Xinshi Lin, Wai Lam
Publikováno v:
SIGIR
Classical ad-hoc retrieval models based on exact matches suffer from the issue of soft matching in text. Besides query expansion approaches, many existing neural IR approaches exploiting word embedding representation alleviate this issue to some exte
Publikováno v:
Biomedicine & Pharmacotherapy. 107:1540-1547
It has been announced in accumulative studies that non-coding (nc)RNAs are responsible for a varieties of biological behaviors during the progression of tumors. As two subgroups of ncRNAs family, micro (mi)RNAs can interact with long non-coding (lnc)
Publikováno v:
Cell Proliferation
Objectives It has been widely reported that long non‐coding RNAs (lncRNAs) can participate in multiple biological processes of human cancers. lncRNA HLA complex group 11 (HCG11) has been reported in human cancers as a tumour suppressor. This study
Publikováno v:
ICTIR
We investigate the task of ad-hoc entity retrieval from a knowledge graph with hierarchical entity types and entity descriptions. Our model directly encodes them into a Markov random field based framework via a path aware smoothing method. We conduct
Autor:
Wai Lam, Xinshi Lin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
We investigate the task of ad-hoc entity retrieval from a knowledge base. We propose a type taxonomy aware smoothing method that exploits the hierarchical type information of a knowledge base and integrates into an existing language modelling framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bc9823fa4de6bbaac497576e2fe4f0f
https://doi.org/10.1007/978-3-319-76941-7_75
https://doi.org/10.1007/978-3-319-76941-7_75
Publikováno v:
ICDM
When a user is making a decision on whether to participate an event in Event-based Social Networks (EBSN), one of the common considerations is who have agreed to join this event. The reason is that existing participants of the event affect the decisi
Publikováno v:
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).