Results 101 to 110 of about 10,025,866 (332)
Long Short-Term Memory Neural Networks for Online Disturbance Detection in Satellite Image Time Series [PDF]
, 2018 Yunlong Kong +5 more
openalex +1 more source
Molecular Oncology, EarlyView.HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
New Journal of Physics, 2013 Many human-related activities show power-law decaying interevent time distribution with exponents usually varying between 1 and 2. We study a simple task-queuing model, which produces bursty time series due to the non-trivial dynamics of the task list ...
Szabolcs Vajna +2 more
doaj +1 more source
Long-Term Deflection Monitoring for Bridges Using X and C-Band Time-Series SAR Interferometry [PDF]
, 2019 Jungkyo Jung +3 more
openalex +1 more source
Anomaly Detection on Graph Time Series
, 2017 In this paper, we use variational recurrent neural network to investigate the anomaly detection problem on graph time series. The temporal correlation is modeled by the combination of recurrent neural network (RNN) and variational inference (VI), while ...
Hsu, Daniel
core
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Molecular Oncology, EarlyView.Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
DYNAMIC / CHRONOLOGICAL (TIME) SERIES [PDF]
Revista Română de Statistică, 2012 Time series, which emphasize the temporal characteristic of phenomena, are an important in the context of macro-economical analyses. Specific to the dynamic series is the fact that they are defined for complexentities, characterized by a high level of ...
Constantin ANGHELACHE, Alexandru MANOLE
doaj
Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola [PDF]
, 2017 Anne Schneibel +5 more
openalex +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Molecular Oncology, EarlyView.Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
Eigen-entropy based time series signatures to support multivariate time series classification
Scientific ReportsMost current algorithms for multivariate time series classification tend to overlook the correlations between time series of different variables. In this research, we propose a framework that leverages Eigen-entropy along with a cumulative moving window ...
Abhidnya Patharkar +6 more
doaj +1 more source