Machine Learning for Exploring State Space Structure in Genetic Regulatory Networks

Genetic regulatory networks (GRN) offer a useful model for clinical biology. Specifically, such networks capture interactions among genes, proteins, and other metabolic factors. Unfortunately, it is difficult to understand and predict the behavior of networks that are of realistic size and complexity. In this dissertation, behavior refers to the trajectory of a state, through a series of state transitions over time, to an attractor in the network. This project assumes asynchronous Boolean networks, implying that a state may transition to more than one attractor. The goal of this project is to efficiently identify a network\u27s set of attractors and to predict the likelihood with which an arbitrary state leads to each of the network’s attractors. These probabilities will be represented using a fuzzy membership vector. Predicting fuzzy membership vectors using machine learning techniques may address the intractability posed by networks of realistic size and complexity. Modeling and simulation can be used to provide the necessary training sets for machine learning methods to predict fuzzy membership vectors. The experiments comprise several GRNs, each represented by a set of output classes. These classes consist of thresholds τ and ¬τ, where τ = [τlaw,τhigh]; state s belongs to class τ if the probability of its transitioning to attractor belongs to the range [τlaw,τhigh]; otherwise it belongs to class ¬τ. Finally, each machine learning classifier was trained with the training sets that was previously collected. The objective is to explore methods to discover patterns for meaningful classification of states in realistically complex regulatory networks. The research design took a GRN and a machine learning method as input and produced output class \u3c Ατ \u3e and its negation ¬ \u3c Ατ \u3e. For each GRN, attractors were identified, data was collected by sampling each state to create fuzzy membership vectors, and machine learning methods were trained to predict whether a state is in a healthy attractor or not. For T-LGL, SVMs had the highest accuracy in predictions (between 93.6% and 96.9%) and precision (between 94.59% and 97.87%). However, naive Bayesian classifiers had the highest recall (between 94.71% and 97.78%). This study showed that all experiments have extreme significance with pvalue \u3c 0.0001. The contribution this research offers helps clinical biologist to submit genetic states to get an initial result on their outcomes. For future work, this implementation could use other machine learning classifiers such as xgboost or deep learning methods. Other suggestions offered are developing methods that improves the performance of state transition that allow for larger training sets to be sampled

Stephanostomum spp. (Digenea: Acanthocolpidae)from scombrids and carangids (Perciformes) from the Great Barrier Reef, with the description of two new species

Two new species and 4 Stephanostomum spp. as new host and/or locality records from Percifomes from the Great Barrier Reef are described: Stephanostomum lamothei n. sp. from Grammatorcymus bilineatus (type-host) and G. bicarinatus, Lizard Island and Swain Reefs, is characterised by its 50-55 circum-oral spines and >than 20% of the hindbody length Jacking vitelline follicles; Stephanostomum tupatupa n. sp. from Caranx papuensis, Lizard Island, is characterised by its 34-36 circum-oral spines an

An overview of aeroelasticity studies for the National Aerospace Plane

The National Aero-Space Plane (NASP), or X-30, is a single-stage-to-orbit vehicle that is designed to takeoff and land on conventional runways. Research in aeroelasticity was conducted by NASA and the Wright Laboratory to support the design of a flight vehicle by the national contractor team. This research includes the development of new computational codes for predicting unsteady aerodynamic pressures. In addition, studies were conducted to determine the aerodynamic heating effects on vehicle aeroelasticity and to determine the effects of fuselage flexibility on the stability of the control systems. It also includes the testing of scale models to better understand the aeroelastic behavior of the X-30 and to obtain data for code validation and correlation. This paper presents an overview of the aeroelastic research which has been conducted to support the airframe design

Three members of Opisthomonorcheides Parukhin, 1966 (Digenea: Monorchiidae) from carangid fishes (Perciformes) from Indonesia, with a review of the genus

Three species of Opisthomonorcheides Parukhin, 1966 are reported for the first time from Indonesian waters: O. pampi (Wang, 1982) Liu, Peng, Gao, Fu, Wu, Lu, Gao & Xiao, 2010 and O. ovacutus (Mamaev, 1970) Machida, 2011 from Parastromateus niger (Bloch), and O. decapteri Parukhin, 1966 from Atule mate (Cuvier). Both O. pampi and O. ovacutus can now be considered widespread in the Indo-Pacific region, with earlier records of these species being from Fujian Province, China and Penang, Malaysia, respectively. We redescribe O. decapteri from one of its original hosts, Atule mate, off New Caledonia, and report this species from Jakarta Bay, Indonesia, extending its range throughout the Indian Ocean into the south-western Pacific. All three species possess a genital atrium that is long, sometimes very long, and a genital pore that is located in the forebody. This validates the interpretation that the original description was erroneous in reporting the genital pore in the hindbody, well posterior to the ventral sucker. These observations verify the synonymy of Retractomonorchis Madhavi, 1977 with Opisthomonorcheides. A major discrepancy between the species of Opisthomonorcheides is that some are described with the uterus entering the terminal organ laterally and some with it entering terminally; this feature needs further analysis. Based on the length of the genital atrium and the posterior extent of the vitellarium, the 27 species of Opisthomonorcheides considered valid can be divided into four groups. Among the 53 host records analysed, the families Carangidae (53% of records), Stromateidae (17%) and Serranidae (5.7%) are the most common; the reports are overwhelmingly from members of the Perciformes (91%), with further records in the Clupeiformes (5.7%), Gadiformes (1.9%) and Pleuronectiformes (1.9%). Two fish genera (Parastromateus Bleeker and Pampus Bonaparte) dominate the recorded hosts, with the black pomfret Parastromateus niger harbouring six species, the silver pomfret Pampus argenteus (Euphrasen) harbouring six, and the Chinese silver pomfret P. chinensis (Euphrasen) two. A host-parasite checklist is presented. We discuss the host-specificity of members of the genus, questioning some records such as that of O. decapteri in a deep-sea macrourid. We also comment on the morphological similarity, but phylogenetic distance, between the various Pomfret species, advancing the possibility that a series of host misidentifications has occurred. Sequences of the ITS2 rDNA gene generated for O. pampi and O. ovacutus are briefly discussed and molecular data are lodged in the GenBank database

Two known and one new species of Proctoeces from Australian teleosts: variable host-specificity for closely related species identified through multi-locus molecular data

Species of Proctoeces Odhner, 1911 (Trematoda: Fellodistomidae) have been reported from a wide range of marine animals globally. Members of the genus tend to lack strongly distinguishing morphological features for diagnosis, making identification difficult and the true number of species in the genus contentious. Combined morphological and molecular analyses were used to characterise three species of Proctoeces from Moreton Bay and the southern Great Barrier Reef. Data for two ribosomal regions and one mitochondrial region were generated for specimens collected from Australia. Three unique 18S-genotypes were identified which corresponded to subtle, but reliable, morphological differences. Two species of Proctoeces were identified from fishes of Moreton Bay, Proctoeces insolitus (Nicoll, 1915) Yamaguti, 1953 and P. major Yamaguti, 1934, and a third, P. choerodoni n. sp. from off Heron Island on the southern Great Barrier Reef. Phylogenetic analyses of partial 18S and partial 28S rDNA indicated that these three species differ from the four species reported outside of Australia for which sequence data are available. Phylogenetically, Proctoeces proved to be a reliable concept, with all species of Proctoeces that have been characterised genetically forming a well-supported clade in all analyses. Dramatically different patterns of host-specificity were identified for each of the three Australian species; P. insolitus apparently infects a single species of fish, P. choerodoni n. sp. infects multiple species of a single genus of fish, and P. major infects multiple species of two teleost orders