| 1. |
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| 2. |
- Bravo, L, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 3. |
- Tabiri, S, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 4. |
- Glasbey, JC, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 5. |
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| 6. |
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| 7. |
- Menden, MP, et al.
(författare)
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Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
- 2019
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Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 2674-
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Tidskriftsartikel (refereegranskat)abstract
- The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells.
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| 8. |
- Mindur, B, et al.
(författare)
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Gas gain stabilisation in the ATLAS TRT detector
- 2016
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Ingår i: Journal of Instrumentation. - 1748-0221. ; 11:4
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Tidskriftsartikel (refereegranskat)abstract
- The ATLAS (one of two general purpose detectors at the LHC) Transition Radiation Tracker (TRT) is the outermost of the three tracking subsystems of the ATLAS Inner Detector. It is a large straw-based detector and contains about 350,000 electronics channels. The performance of the TRT as tracking and particularly particle identification detector strongly depends on stability of the operation parameters with most important parameter being the gas gain which must be kept constant across the detector volume. The gas gain in the straws can vary significantly with atmospheric pressure, temperature, and gas mixture composition changes. This paper presents a concept of the gas gain stabilisation in the TRT and describes in detail the Gas Gain Stabilisation System (GGSS) integrated into the Detector Control System (DCS). Operation stability of the GGSS during Run-1 is demonstrated.
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| 9. |
- Guzel, T., et al.
(författare)
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Noise modeling and OFDM based receiver design in power-line communication
- 2012
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Konferensbidrag (refereegranskat)abstract
- Electromagnetic interference, man-made noise and multi-path effects are the main causes of bit errors in power line communication (PLC). In this paper, frequency domain characteristics of the power-line noise are investigated. The noise amplitude distribution of each individual frequency in the spectrum is analyzed and a suitable noise amplitude distribution model is proposed. A soft-demodulation based receiver for the proposed noise model is derived and its performance is analyzed. In simulations, Zimmermann and Dostert’s wellknown PLC channel model is used. Correctness of the channel simulations is verified by measurements. Orthogonal Frequency Division Multiplexing (OFDM) with convolutional coding and soft-Viterbi decoding is used to evaluate the performance of the receiver under the proposed noise model in terms of the bit-error-rate (BER) for different signal-to-noise ratio values. It is shown that instead of using a Gaussian optimal receiver in an OFDM system for the whole spectrum, utilizing Generalized Gaussian Distribution based receivers with appropriate shape information for each individual subchannel significantly increases BER performance.
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| 10. |
- Guzel, T., et al.
(författare)
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Noise Modeling and OFDM Receiver Design in Power-Line Communication
- 2011
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Ingår i: IEEE Transactions on Power Delivery. - : Institute of Electrical and Electronics Engineers (IEEE). - 0885-8977 .- 1937-4208. ; 26:4, s. 2735-2742
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Tidskriftsartikel (refereegranskat)abstract
- Electromagnetic interference, man-made noise, and multipath effects are the main causes of bit errors in power-line communication. In this paper, it is experimentally demonstrated that the power-line noise distribution is non-Gaussian below 12 MHz, and close to Gaussian in the 12-50 MHz range. The noise-amplitude distribution of each individual frequency in the spectrum is analyzed and the generalized Gaussian distribution (GGD) is introduced as a suitable noise model across the spectrum. Orthogonal frequency-division multiplexing (OFDM) with convolutional coding and soft-Viterbi decoding is adopted to design a GGD-optimal communication system. Simulations demonstrate the performance improvement offered over the Gaussian-optimal receiver. The channel simulations are verified through measurements.
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