Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Robert Frost"'
Autor:
Jaejin Cho, Borjan Gagoski, Tae Hyung Kim, Qiyuan Tian, Robert Frost, Itthi Chatnuntawech, Berkin Bilgic
Publikováno v:
Bioengineering, Vol 9, Iss 12, p 736 (2022)
A recently introduced model-based deep learning (MoDL) technique successfully incorporates convolutional neural network (CNN)-based regularizers into physics-based parallel imaging reconstruction using a small number of network parameters. Wave-contr
Externí odkaz:
https://doaj.org/article/074f26bdaea24584b18e78774154e6d7
Autor:
Courtney Schiebout, H. Robert Frost
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background A vital step in analyzing single-cell data is ascertaining which cell types are present in a dataset, and at what abundance. In many diseases, the proportions of varying cell types can have important implications for health and pr
Externí odkaz:
https://doaj.org/article/964bfd9b40a847d18511c921acd82b64
Autor:
H. Robert Frost
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-20 (2024)
Abstract We present a novel approach for computing a variant of eigenvector centrality for multilayer networks with inter-layer constraints on node importance. Specifically, we consider a multilayer network defined by multiple edge-weighted, potentia
Externí odkaz:
https://doaj.org/article/821bb9af2e79426fb841aaceb2af4fb8
Autor:
Min Kyung Lee, Nasim Azizgolshani, Joshua A. Shapiro, Lananh N. Nguyen, Fred W. Kolling, George J. Zanazzi, Hildreth Robert Frost, Brock C. Christensen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Central nervous system (CNS) tumors are the leading cause of pediatric cancer death, and these patients have an increased risk for developing secondary neoplasms. Due to the low prevalence of pediatric CNS tumors, major advances in targeted
Externí odkaz:
https://doaj.org/article/0e78f5f944ac4d33a304ccca7e04c5a9
Autor:
H Robert Frost
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1012084 (2024)
We have developed a new, and analytically novel, single sample gene set testing method called Reconstruction Set Test (RESET). RESET quantifies gene set importance based on the ability of set genes to reconstruct values for all measured genes. RESET
Externí odkaz:
https://doaj.org/article/0efb98aafb7f492390fc30946b35440f
Autor:
H Robert Frost
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 1, p e1011717 (2024)
We describe a novel single sample gene set testing method for cancer transcriptomics data named tissue-adjusted pathway analysis of cancer (TPAC). The TPAC method leverages information about the normal tissue-specificity of human genes to compute a r
Externí odkaz:
https://doaj.org/article/e8bc7f4c9f4e408484d7d4392aaf67f1
The Letters of Robert Frost, Volume 2: 1920–1928 is the second installment of Harvard's five-volume edition of the poet's correspondence. Nearly three hundred letters in the critically-acclaimed first volume had never before been collected; here, c
One of the acknowledged giants of twentieth-century American literature, Robert Frost was a public figure much celebrated in his day. Although his poetry reached a wide audience, the private Frost—pensive, mercurial, and often very funny—remains
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 5, p e1010091 (2022)
Research in human-associated microbiomes often involves the analysis of taxonomic count tables generated via high-throughput sequencing. It is difficult to apply statistical tools as the data is high-dimensional, sparse, and compositional. An approac
Externí odkaz:
https://doaj.org/article/4c6737f13a9c4fd6916a97d1732dd797
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-19 (2020)
Abstract Background Genomic profiling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. Although researche
Externí odkaz:
https://doaj.org/article/cd0b387808cf444cb1b53f6e1eeed2ee