Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Jean Gao"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S20, Pp 25-36 (2018)
Abstract Background The majority of cancer-related deaths are due to lung cancer, and there is a need for reliable diagnostic biomarkers to predict stages in non-small cell lung cancer cases. Recently, microRNAs were found to have potential as both b
Externí odkaz:
https://doaj.org/article/0871b606907043de97a131e8fcc30d59
Autor:
Borzou Alipourfard, Jean Gao
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d7925768e121560fe90df3292d381a0
https://doi.org/10.1109/bibm55620.2022.9995122
https://doi.org/10.1109/bibm55620.2022.9995122
Autor:
Borzou Alipourfard, Jean Gao
Publikováno v:
BIBM
Most causal learning algorithms, especially the ones using conditional independence tests, suffer in the low sample regime. In this paper, we examine the possibility of causal discovery using only the pairwise dependency structure of a domain and inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::131aa92e4310f0773455bdd11f985cab
https://doi.org/10.1109/bibm49941.2020.9313245
https://doi.org/10.1109/bibm49941.2020.9313245
Autor:
Dajiang Zhu, Jean Gao, Lu Zhang, Shannon L. Risacher, Tianming Liu, Jingwen Yan, Li Wang, Gang Li
Publikováno v:
Medical image analysis. 72
Multimodal fusion of different types of neural image data provides an irreplaceable opportunity to take advantages of complementary cross-modal information that may only partially be contained in single modality. To jointly analyze multimodal data, d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::060cfcac42e979804f685d26dd7c1c57
https://pubmed.ncbi.nlm.nih.gov/34004495
https://pubmed.ncbi.nlm.nih.gov/34004495
Autor:
Jean Gao, Fariba Khoshghalbvash
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811394089
CSPS
CSPS
With recent advances in high-throughput sequencing, reading the human genome is not an arduous task anymore. The extensive collection of different types of omics data and possible causal relations between them have led the scientists to exploit speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21c05bcc4e4df112c9bebdba68935f42
https://doi.org/10.1007/978-981-13-9409-6_39
https://doi.org/10.1007/978-981-13-9409-6_39
Autor:
Mingon, Kang, Jean, Gao
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2082
Expression quantitative trait loci (eQTL) mapping studies identify genetic loci that regulate gene expression. eQTL mapping studies can capture gene regulatory interactions and provide insight into the genetic mechanism of biological systems. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::da3fea3556709efdcf3611e64c63aee1
https://pubmed.ncbi.nlm.nih.gov/31849014
https://pubmed.ncbi.nlm.nih.gov/31849014
Autor:
Jean Gao, Mingon Kang
Publikováno v:
Methods in Molecular Biology ISBN: 9781071600252
Expression quantitative trait loci (eQTL) mapping studies identify genetic loci that regulate gene expression. eQTL mapping studies can capture gene regulatory interactions and provide insight into the genetic mechanism of biological systems. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b4dc9b4d3c26d4d35022747d5feb7d
https://doi.org/10.1007/978-1-0716-0026-9_11
https://doi.org/10.1007/978-1-0716-0026-9_11
Publikováno v:
ICMLA
Cross-Language Text Classification (CLTC) has been increasing its attention to multilingual data due to its exponentially growing. CLTC aims to classify text documents in a label-scarce language, by leveraging classification information in a label-ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a7e4100d03b77aed61a2e52c221110
https://doi.org/10.1109/icmla.2019.00174
https://doi.org/10.1109/icmla.2019.00174
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14:1350-1358
Human diseases involve a sequence of complex interactions between multiple biological processes. In particular, multiple genomic data such as Single Nucleotide Polymorphism (SNP), Copy Number Variation (CNV), DNA Methylation (DM), and their interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81221fe3bcbdd1ef6ff825b08d8fb9ba
https://doi.org/10.1109/tcbb.2016.2591521
https://doi.org/10.1109/tcbb.2016.2591521
Autor:
Jean Gao, Fariba Khoshghalbvash
Publikováno v:
BCB
Extracting cancer-related information from genomic data specially multi-source datasets has been an ever-growing challenge during the past years. The identification of subtype-specific genomic markers can lead to a sounder diagnosis and treatment. Wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2b68558ad193f8f0918749cf62015f3
https://doi.org/10.1145/3307339.3342139
https://doi.org/10.1145/3307339.3342139