Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Saptarshi Pyne"'
Autor:
Shilu Zhang, Saptarshi Pyne, Stefan Pietrzak, Spencer Halberg, Sunnie Grace McCalla, Alireza Fotuhi Siahpirani, Rupa Sridharan, Sushmita Roy
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-25 (2023)
Abstract Cell type-specific gene expression patterns are outputs of transcriptional gene regulatory networks (GRNs) that connect transcription factors and signaling proteins to target genes. Single-cell technologies such as single cell RNA-sequencing
Externí odkaz:
https://doaj.org/article/6364662bddf240fca2682cce7b73a37f
Autor:
Sunnie Grace McCalla, Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew Stone, Viswesh Periyasamy, Junha Shin, Sushmita Roy
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 3 (2023)
AbstractSingle-cell RNA-sequencing (scRNA-seq) offers unparalleled insight into the transcriptional programs of different cellular states by measuring the transcriptome of thousands of individual cells. An emerging problem in the analysis of scRNA-se
Externí odkaz:
https://doaj.org/article/e83a7d7ec76e4aafba58b5e60bc49e0b
Autor:
Cristobal Carrera Carriel, Saptarshi Pyne, Spencer A. Halberg-Spencer, Sung Chul Park, Hye-won Seo, Aidan Schmidt, Dante G. Calise, Jean-Michel Ané, Nancy P. Keller, Sushmita Roy
Aspergillus fumigatusis a notorious pathogenic fungus responsible for various harmful, sometimes lethal, diseases known as aspergilloses. Understanding the gene regulatory networks that specify the expression programs underlying this fungus’ divers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42e7133f6c2c0db8f3e01631280ef42
https://doi.org/10.1101/2023.05.11.538573
https://doi.org/10.1101/2023.05.11.538573
Cell type-specific gene expression patterns are outputs of transcriptional gene regulatory networks (GRNs) that connect transcription factors and signaling proteins to target genes. These networks reconfigure during dynamic processes such as cell fat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::165030dc4eee4c4d44e25c1c9456b9f7
https://doi.org/10.21203/rs.3.rs-1892655/v1
https://doi.org/10.21203/rs.3.rs-1892655/v1
Autor:
Sunnie Grace McCalla, Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew Stone, Viswesh Periyasamy, Junha Shin, Sushmita Roy
Single-cell RNA-sequencing (scRNA-seq) offers unparalleled insight into the transcriptional programs of different cellular states by measuring the transcriptome of thousands of individual cells. An emerging problem in the analysis of scRNA-seq is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794bcb31698e3bd96ccd6979bf73c94a
https://doi.org/10.1101/2021.06.01.446671
https://doi.org/10.1101/2021.06.01.446671
Publikováno v:
SN Computer Science. 1
Gene ontology (GO) is a comprehensive resource for the properties of gene products and their relationships. A similarity measure can be defined between two gene products by utilizing GO, and the corresponding similarity score can be treated as a like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::741ffe7f2673555b899a4051bc065321
https://doi.org/10.1007/s42979-020-00350-5
https://doi.org/10.1007/s42979-020-00350-5
Autor:
Ashish Anand, Saptarshi Pyne
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 18(4)
Reconstruction of time-varying gene regulatory networks underlying a time-series gene expression data is a fundamental challenge in the computational systems biology. The challenge increases multi-fold if the target networks need to be constructed fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa60194357d29936311f4dc48a6a7ec
https://pubmed.ncbi.nlm.nih.gov/31613774
https://pubmed.ncbi.nlm.nih.gov/31613774
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348717
PReMI (2)
PReMI (2)
Gene Ontology (GO) is a taxonomy of biological terms related to the properties of genes and gene products. It can be used to define a similarity measure between two gene products and assign a confidence score to protein-protein interactions (PPIs). G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996a138a9db9ebe170e9855554b62d06
https://doi.org/10.1007/978-3-030-34872-4_14
https://doi.org/10.1007/978-3-030-34872-4_14
—Rapid advancements in high-throughput technologies has resulted in genome-scale time series datasets. Uncovering the temporal sequence of gene regulatory events, in the form of time-varying gene regulatory networks (GRNs), demands computationally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::812a75dbbc9ec181e3ebbfb947e1b0f8
https://doi.org/10.1101/272484
https://doi.org/10.1101/272484