-
81“…Given that each functional element in DNA sequences is analogous to a “word” in linguistics, the word segmentation methods are proposed to divide DNA sequences into “words”, and the skip-gram model is employed to transform the “words” into digital vectors. In view of the powerful ability to extract high-level abstraction features, a convolutional neural network (CNN) architecture is constructed to perform the identification tasks, and the word vectors of DNA sequences are vertically concatenated to form the embedding matrices as the input of the CNN. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
82“…We then used a network analysis approach to identify host factors associated with NLR and influenza susceptibility. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
83“…Reproducible techniques to quantify innervation are lacking, with reliance on manual counting or basic single-parameter digital quantification. Aims: To determine if a deep machine learning algorithm could objectively quantify nerves in a digital histological dataset of thyroid cancers immunostained for the specific pan-neuronal marker PGP9.5. …”
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
84por Hewera, Michael, Nickel, Ann-Christin, Knipprath, Nina, Muhammad, Sajjad, Fan, Xiaolong, Steiger, Hans-Jakob, Hänggi, Daniel, Kahlert, Ulf Dietrich“…Driven by industry or scientific networks, several attempts to combat this crisis are initiated. …”
Publicado 2020
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
85por Praveen, S. Phani, Srinivasu, Parvathaneni Naga, Shafi, Jana, Wozniak, Marcin, Ijaz, Muhammad Fazal“…Carcinoma is a primary source of morbidity in women globally, with metastatic disease accounting for most deaths. Its early discovery and diagnosis may significantly increase the odds of survival. …”
Publicado 2022
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
86Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgaepor Chong, Jun Wei Roy, Tang, Doris Ying Ying, Leong, Hui Yi, Khoo, Kuan Shiong, Show, Pau Loke, Chew, Kit Wayne“…To date, artificial intelligence (AI) models can assist and improvise the bottleneck of fucoxanthin extraction and quantification process by establishing new technologies and processes which involve big data, digitalization, and automation for efficiency fucoxanthin production. …”
Publicado 2023
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
87por Zhang, Long Jiang, Qi, Rongfeng, Zhong, Jianhui, Ni, Ling, Zheng, Gang, Xu, Jian, Lu, Guang Ming“…The pregenual ACC resting-state networks (RSNs) were characterized by using a standard seed-based whole-brain correlation method and compared between cirrhotic patients and healthy controls. …”
Publicado 2013
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
88por Zhang, Yongkang, Hu, Hui, Fokaidis, Vasilios, Lewis, Colby, Xu, Jie, Zang, Chengxi, Xu, Zhenxing, Wang, Fei, Koropsak, Michael, Bian, Jiang, Hall, Jaclyn, Rothman, Russell L., Shenkman, Elizabeth A., Wei, Wei-Qi, Weiner, Mark G., Carton, Thomas W., Kaushal, Rainu“…In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each contextual and spatial factor, adjusting for a comprehensive set of patient-level confounders. …”
Publicado 2022
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
89por Chen, Yijiang, Zee, Jarcy, Janowczyk, Andrew R., Rubin, Jeremy, Toro, Paula, Lafata, Kyle J., Mariani, Laura H., Holzman, Lawrence B., Hodgin, Jeffrey B., Madabhushi, Anant, Barisoni, Laura“…METHODS: To explore the relationship between PTC characteristics and clinical outcome, n=280 periodic acid–Schiff-stained kidney biopsies (88 minimal change disease, 109 focal segmental glomerulosclerosis, 46 membranous nephropathy, and 37 IgA nephropathy) from the Nephrotic Syndrome Study Network digital pathology repository were computationally analyzed. …”
Publicado 2023
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
90por Gao, Bei, Zhang, Daoyuan, Li, Xiaoshuang, Yang, Honglan, Zhang, Yuanming, Wood, Andrew J.“…GO function enrichment network, EKGG metabolic pathway and MapMan analysis supports the idea of the rapid recovery of photosynthesis after 24 h of rehydration. …”
Publicado 2015
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
91por Khurshid, Shaan, Friedman, Samuel Freesun, Pirruccello, James P., Di Achille, Paolo, Diamant, Nathaniel, Anderson, Christopher D., Ellinor, Patrick T., Batra, Puneet, Ho, Jennifer E., Philippakis, Anthony A., Lubitz, Steven A.Enlace del recurso
Publicado 2021
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
92por Zhang, Yongkang, Hu, Hui, Fokaidis, Vasilios, V, Colby Lewis, Xu, Jie, Zang, Chengxi, Xu, Zhenxing, Wang, Fei, Koropsak, Michael, Bian, Jiang, Hall, Jaclyn, Rothman, Russell L., Shenkman, Elizabeth A., Wei, Wei-Qi, Weiner, Mark G., Carton, Thomas W., Kaushal, Rainu“…Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified environmental risk factors for 23 PASC symptoms and conditions from nearly 200 exposome factors. …”
Publicado 2023
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
93por Schuster, Anne L. R., Crossnohere, Norah L., Paskett, Jonathan, Thomas, Neena, Hampel, Heather, Ma, Qin, Tiner, Jessica C., Paskett, Electra D., Bridges, John F. P.“…Results: Ten research programs were identified, examples of which include the Cancer Moonshot Biobank, the MyPART Network, NCI-CONNECT, and the Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network. …”
Publicado 2023
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
94“…WIDER IMPLICATIONS OF THE FINDINGS: Given the increased use of biotechnology and digital facial recognition enabling self-discovery of the donor and the donor’s extended family, non-disclosure about involvement in DAC may have consequences. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
95por Lencer, Rebekka, Standke, Isabel, Dannlowski, Udo, Schubotz, Ricarda I, Trempler, Ima“…METHODS: We assessed patients with schizophrenia (N=22) and healthy controls (N=22) on first, detection of relevant unexpected events (cognitive flexibility) and second, distractor resistance to irrelevant prediction errors (cognitive stability) using a serial prediction task including the digits 1-2-3-4. We applied an event-related design in a functional magnetic resonance imaging (fMRI) environment (3T) to explore brain networks underlying cognitive flexibility and stability, respectively. …”
Publicado 2020
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
96por De, K, Klimentov, A, Maeno, T, Nilsson, P, Panitkin, S, Vaniachine, A, Wenaus, T, Yu, D“…PanDA was cited as an example of "a high performance, fault tolerant software for fast, scalable access to data repositories of many kinds" during the "Big Data Research and Development Initiative" announcement, a $200 million U.S. government investment in tools to handle huge volumes of digital data needed to spur science and engineering discoveries. …”
Publicado 2013
Enlace del recurso
-
97“…Blood pressure is regulated by a complex network of physiologic pathways with currently available drugs targeting key receptors or enzymes in the top pathways. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
98por Borodin, M, De, K, Jha, S, Golubkov, D, Klimentov, A, Maeno, T, Nilsson, P, Oleynik, D, Panitkin, S, Petrosyan, A, Schovancova, J, Vaniachine, A, Wenaus, T“…PanDA was cited as an example of "a high performance, fault tolerant software for fast, scalable access to data repositories of many kinds" during the "Big Data Research and Development Initiative" announcement, a 200 million USD U.S. government investment in tools to handle huge volumes of digital data needed to spur science and engineering discoveries. …”
Publicado 2014
Enlace del recurso
-
99por Chen, Pingjun, El Hussein, Siba, Xing, Fuyong, Aminu, Muhammad, Kannapiran, Aparajith, Hazle, John D., Medeiros, L. Jeffrey, Wistuba, Ignacio I., Jaffray, David, Khoury, Joseph D., Wu, Jia“…Unsupervised learning has gained increased attention because of its substantial potential in data intrinsic pattern discovery. Here, we demonstrate that cellular feature engineering, identifying cellular phenotypes via unsupervised clustering, provides the most robust analytic performance in analyzing digitized pathology slides (accuracy = 0.925, AUC = 0.978) when compared to alternative approaches, such as mixed features, supervised features, unsupervised/mixed/supervised feature fusion and selection, as well as patch-based convolutional neural network (CNN) feature extraction. …”
Publicado 2022
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto -
100por Zhu, Xue, Yao, Qi, Yang, Pengshuo, Zhao, Dan, Yang, Ronghua, Bai, Hong, Ning, Kang“…Thirdly, we focused on TCM network analysis, which plays a vital role in TCM-diseases interaction, and serves for new drug discovery. …”
Publicado 2022
Enlace del recurso
Enlace del recurso
Enlace del recurso
Online Artículo Texto