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Statistically significant interactions

Xem 1-20 trên 22 kết quả Statistically significant interactions
  • Hi-C is a molecular biology technique to understand the genome spatial structure. However, data obtained from Hi-C experiments is biased. Therefore, several methods have been developed to model Hi-C data and identify significant interactions.

    pdf10p vijeeni2711 24-07-2021 8 0   Download

  • Chromatin conformation capture with high-throughput sequencing (Hi-C) is a technique that measures the in vivo intensity of interactions between all pairs of loci in the genome. Most conventional analyses of Hi-C data focus on the detection of statistically significant interactions.

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  • Network query problem aligns a small query network with an arbitrarily large target network. The complexity of this problem grows exponentially with the number of nodes in the query network if confidence in the optimality of result is desired. Scaling this problem to large query and target networks remains to be a challenge.

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  • Conventional differential gene expression analysis by methods such as student’s t-test, SAM, and Empirical Bayes often searches for statistically significant genes without considering the interactions among them.

    pdf14p vioklahoma2711 19-11-2020 17 1   Download

  • A standard multi-factor analysis of variance showed the main effect due to years, locations and first order interactions (year x location) were highly significant. The main effect for genotype, first order interaction (varieties x locations), (variety x year) and second order interaction (varieties x locations x year) were highly significant. The highly significant interactions indicate that varieties need to be tested in severe years and locations in order to select stable variety.

    pdf11p chauchaungayxua8 03-10-2020 13 2   Download

  • To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes more often than non-hub nodes do. Such dependence among gene nodes can be conjectured based on the topology of the pathway network or the correlation between them.

    pdf11p vicolorado2711 22-10-2020 8 0   Download

  • This paper investigates the interaction between non-standard debt investment (NSDI) and non-principal-guaranteed wealth management products (WMPs) of commercial banks in China after controlling the influences of several bank-specific and regulatory determinants. A credit switching model is employed to illustrate the mechanism in which special interest vehicles (SIVs) serve as the conduits for parent banks to conduct regulatory arbitrage by trade-off between on-balance-sheet funding strategy NSDI and off-balance-sheet financing via consignment of WMPs.

    pdf18p nguyenanhtuan_qb 09-07-2020 23 2   Download

  • Evaluation of 19 diverse genotypes of cucumber was carried out in a randomized block design for studying genetic divergence. Presence of wide genetic diversity, among the 19 genotypes studied was confirmed by using the powerful tool of Mahalanobis D2 statistic. Based on the interactions in genetic distances 19 genotypes of cucumber got grouped into five separate clusters inferring that the genetic divergence between them was quite plentiful. The mode of distribution of genotypes into various clusters, from different ecogeographical regions viz.

    pdf10p trinhthamhodang4 22-03-2020 13 2   Download

  • Paddy drying experiments were conducted in Solar greenhouse dryer during paddy growing seasons namely kharif and Rabi at three different bed thicknesses (5, 10 and 15 cm). Milling quality analysis showed that there was no significant effect of season, replication and interaction of season and thickness on brown rice yield, milling recovery and head rice yield, however, grain bed thickness had a significant effect at 5% significant level. Highest head rice yield of 66.4% was achieved at 10 cm bed thickness, as compared to 62.9% and 65.4% for 5 and 15 cm beds thickness, respectively.

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  • The experiment consisted of sixteen treatment combination including four NAA (control, NAA @ 80, NAA @ 120 and NAA @ 180 ppm) and four GA3 levels (control, GA3 @ 25, GA3 @ 50 and GA3 @ 75 ppm) were undertaken randomized block design (RBD) with three replications at Horticulture Farm S.K.N College of Agriculture, Jobner (Jaipur) during rabi 2018-19. The result of study clearly indicated that application of NAA @ 180 ppm to the sprouting broccoli significantly increased the plant height (58.32 cm), number of leaves (25.85), leaf area (1255.35 cm2 ), chlorophyll content in leaves (2.

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  • A study was conducted to see the thousand grain weight variation in Green gram stored in different types of bags. Green gram (Vigna radiate) grains were procured from local market, cleaned and graded by two screen cleaner-cum-grader. Storage study was conducted by storing large sized green gram grains in 4 types of bags (jute, plastic, polythene, hermetic) without and with treatment (aluminium phosphide tablets) at 3 different initial moisture contents (12.34, 14.07, 16.04 % w.b.). Total 21 such bags having different treatment combinations were kept in laboratory for 33 weeks.

    pdf7p chauchaungayxua3 07-02-2020 11 1   Download

  • The role of testosterone in reproductive performance of Amur common carp has been studied during different seasons using the RP-HPLC method from gonad and plasma of two different age groups of both sexes. Gonadal and plasma T levels in both the age groups showed similar seasonal trend with highest level in spring season, which decreased in summer and continued to decrease to the lowest level in autumn followed by slight increase in winter season. Statistically significant differences (p< 0.

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  • The paper aims to explore how bonds issuance affects banking performance. This paper uses data panel to analyse the data for the period of 2008 to 2012. The result are as follows: BOPO (operational cost to Operational revenue), CAR (capital adequacy ratio), LDR (loan deposits ratio), NIM (Net Interest Margin) statistically significant affected the RoE (return on equity) but NPL (non-performance loan) does not affect RoE. BOPO, CAR, NIM and NPL statistically significant affected the RoA (return on assets), but LDR does not affect the RoA.

    pdf12p trinhthamhodang2 21-01-2020 17 0   Download

  • A field experiment was conducted at Seed Technology Research and Production Centre, Thangedancha during rabi 2017-18 to standardize seed rate for mechanical sowing of newly released varieties of chickpea. In this investigation, growth, yield parameters and yield of chickpea were significantly influenced by the varieties, seed rates and their interaction. Among the three varieties Nandyala gram 49 recoded significantly the highest number of pods per plant, 100 grain weight and grain yield but which was statistically on par with Nandayala Senaga-1 in grain 100 grain weight and grain yield.

    pdf6p cothumenhmong1 08-12-2019 7 1   Download

  • Quantitative structure-activity relationship and molecular docking studies were carried out on a series of quinazolinonyl analogues as anticonvulsant inhibitors. Density Functional Theory (DFT) quantum chemical calculation method was used to find the optimized geometry of the anticonvulsants inhibitors. Four types of molecular descriptors were used to derive a quantitative relation between anticonvulsant activity and structural properties. The relevant molecular descriptors were selected by Genetic Function Algorithm (GFA).

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  • This paper deals with studying and modeling static friction coefficient (SFC) and dynamic friction coefficient (DFC) of wheat grain as affected by several treatments. Significance of single effect (SE) and dual interaction effect (DIE) of treatments (moisture content and contact surface) on SFC and, SE, DIE, and triple interaction effect (TIE) of treatments (moisture content, contact surface and sliding velocity) on DFC were determined using statistical analysis methods. Multiple linear regression (MLR) modeling was employed to predict SFC and DFC on different contact surfaces.

    pdf11p trinhthamhodang1 16-11-2019 24 0   Download

  • Faculty training in tertiary institutions around the world is receiving increasing attention as it plays a significant role to ensure high quality learning and teaching practices in constantly changing multi-cultural education backgrounds. In the case of Graduate Teaching Assistants (GTAs), designing an effective training course to help them deliver content interactively, using student-centered strategies and approaches in a second language (in this case English), becomes critical.

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  • This research demonstrates that students attach the highest importance to the Entropic Knowledge Dynamics, thus, identifying knowledge transformations and interactions as the most prominent factor. The entropic knowledge dynamics shows up as a driving force of the decision-making process.

    pdf12p quenchua1 04-11-2019 15 0   Download

  • Finally, we compare the baseline results obtained using IMF forecast errors with those obtained using the forecast errors of other forecasters, including the European Commission (EC), the Organization for Economic Cooperation and Development (OECD), and the Economist Intelligence Unit (EIU). Here, we find that the results hold for all the forecasters considered, with coefficients ranging from –1.1 to –0.4. The results are strongest, in terms of both economic and statistical significance, for forecasts published by the IMF and, to a slightly lesser extent, by the EC. ...

    pdf58p trinhcaidat 19-04-2013 44 3   Download

  • Third, we look at the results for other time intervals since the start of the crisis, as well as the results for “normal times” (1997–2008). Looking within the crisis, we find evidence of more underestimation of fiscal multipliers earlier in the crisis (for the time intervals 2009–10 and 2010–11) than later in the crisis (2011–12 and 2012–13). Results for the earlier samples yield coefficients typically between 0.7 and 1.0. Results for the later samples yield coefficients typically between 0.3 and 0.5 and are less statistically significant.

    pdf34p trinhcaidat 19-04-2013 50 4   Download

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