DVMS 1.5: A user manual (the data visualization and modeling system)

The data available during the drug discovery process is vast in amount and diverse in nature. To gain useful information from such data, an effective visualisation tool is required. To provide better visualisation facilities to the domain experts (screening scientist, biologist, chemist, etc.),we developed a software which is based on recently developed principled visualisation algorithms such as Generative Topographic Mapping (GTM) and Hierarchical Generative Topographic Mapping (HGTM). The software also supports conventional visualisation techniques such as Principal Component Analysis, NeuroScale, PhiVis, and Locally Linear Embedding (LLE). The software also provides global and local regression facilities . It supports regression algorithms such as Multilayer Perceptron (MLP), Radial Basis Functions network (RBF), Generalised Linear Models (GLM), Mixture of Experts (MoE), and newly developed Guided Mixture of Experts (GME). This user manual gives an overview of the purpose of the software tool, highlights some of the issues to be taken care while creating a new model, and provides information about how to install & use the tool. The user manual does not require the readers to have familiarity with the algorithms it implements. Basic computing skills are enough to operate the software.

Adult cortical plasticity depends on an early postnatal critical period

Development of the cerebral cortex is influenced by sensory experience during distinct phases of postnatal development known as critical periods. Disruption of experience during a critical period produces neurons that lack specificity for particular stimulus features, such as location in the somatosensory system. Synaptic plasticity is the agent by which sensory experience affects cortical development. Here, we describe, in mice, a developmental critical period that affects plasticity itself. Transient neonatal disruption of signaling via the C-terminal domain of "disrupted in schizophrenia 1" (DISC1)-a molecule implicated in psychiatric disorders-resulted in a lack of long-term potentiation (LTP) (persistent strengthening of synapses) and experience-dependent potentiation in adulthood. Long-term depression (LTD) (selective weakening of specific sets of synapses) and reversal of LTD were present, although impaired, in adolescence and absent in adulthood. These changes may form the basis for the cognitive deficits associated with mutations in DISC1 and the delayed onset of a range of psychiatric symptoms in late adolescence.

An investigation into the synaptic conditions and celluar mechanisms underlying cerebellar synaptic plasticity

The direction of synaptic plasticity at the connection between parallel fibres (PFs) and Purkinje cells can be modified by PF stimulation alone. Strong activation (Hartell, 1996) or high frequency stimulation (Schreurs and Alkon, 1993) of PFs induced a long-term depression (LTD) of PF-mediated excitatory postsynaptic currents. Brief raised frequency molecular layer stimulation produced a cAMP-dependent long-temi potentiation (LTP) of field potential (FP) responses (Salin et al., 1998). Thin slices of cerebellar vermis were prepared from 14-21 day old male Wistar rats decapitated under Halothane anaesthesia. FP's were recorded from the Purkinje cell layer in response to alternate 0.2Hz activation of stimulating electrodes placed in the molecular layer. In the presence of picrotoxin, FPs displayed two tetrodotoxin-sensitive, negative-going components termed N1 and N2. EPs were graded responses with paired pulse facilitation and were selectively blocked by 101AM 6-cyano-7-nitroquinoxaline-2,3-dicne (CNQX) an antagonist at iy,-amino-3-hydroxy-5-methyl-4-isoxazolepropionate-type ionotropic glutamate receptors (AMPAR) suggesting that they were primarily PE-mediated. The effects of raised stimulus intensity (RS) and/or increased frequency (IF) activation of the molecular layer on FP responses were examined. In sagittai and transverse slices combined RS and IF molecular layer activation induced a LTD of the N2 component of FP responses. RSIF stimulation produced fewer incidences of LTD in sagittal slices when an inhibitor of nitric oxide synthase (NOS), guanylate cyclase (GC), protein kinase G (PKG) or the GABAB receptor antagonist CGP62349 was included into the perfusion medium. Application of a nitric oxide (NO) donor, a cyclic guanosine monophosphate (cGMP) analogue or a phosphodiesterase (PDE) type V inhibitor to prevent cGMP breakdown paired with IF stimulation produced an acute depression, Raised frequency (RF) molecular layer stimulation produced a slowly emerging LTD of N2 in sagittal slices that was largely blocked in the presence of NOS, cGMP or PKG inhibitors. In transverse slices RE stimulation produced a LTP of the N2 component that was prevented by an inhibitor of protein kinase A or NOS. Inhibition of cGMP-signalling frequently revealed an underlying potentiation suggesting that cGMP activity might mask the effects of cAMP. In sagittal slices RE stimulation resulted in a potentiation of FPs when the cAMP-specific PDE type IV inhibitor rolipram was incorporated into the perfusion medium. In summary, raised levels of PE stimulation can alter the synaptic efficacy at PF-Purkinje cell synapses. The results provide support for a role of NO/cGMP/PKG signalling in the induction of LTD in the cerebellar cortex and suggest that activation of GABAa receptors might also be important. The level of cyclic nucleotide-specific PDE activities may be crucial in determining the level of cGMP and CAMP activity and hence the direction of synaptic plasticity.

On the transmission properties of synapses made between granule cells and cerebellar Purkinje cells

In the cerebellar cortex, forms of both long-term depression (LTD) and long-term potentiation (LTP) can be observed at parallel fibre (PF) - Purkinje cell (PC) synapses. A presynaptic variant of cerebellar LTP can be evoked in PCs by raised frequency stimulation (RFS) of parallel fibre at 4-16Hz for 15s. This form of LTP is dependent on protein kinase A (PKA) and nitric oxide (NO), and can spread to distant synapses. Application of an extracellular NO scavenger, cPTIO, was found to prevent the spread of LTP to distant PF synapses in rat cerebellar slices. G-substrate may be an important mediator of the NO-dependent pathway for LTD. 8-16Hz RFS of PFs without a high concentration of calcium chelator in the postsynaptic cell evokes LTD. In cerebellar slices from wild-type and transgenic, G-substrate knockout mice, 8Hz RFS was applied to PFs, with a low concentration of postsynaptic calcium chelator. In PCs from wild-type mice, LTD predominated, whereas in those from transgenic mice LTP predominated. The ascending axon (AA) segment of the granule cell axon forms synapses with PCs as well as the PF segment. PPF and fluctuation analysis of EPSCs in rat PCs confirmed that the release sites of AA synapses have a greater probability of transmitter release than PF synapses. Furthermore, AA release sites have greater mean quantal amplitude than PF synapses, which is not due to a different type of postsynaptic receptor. AA synapses were found to have limited capacity to undergo the presynaptic variant of LTP, and were potentiated less than PF synapses in the presence of the PKA activator, forskolin. AA synapses also did not undergo the postsynaptic form of LTP, nor LTD induced by conjunctive stimulation of climbing fibre and PF.

On the mechanisms of cerebellar synaptic plasticity

Changes in the strength of signalling between neurones are thought to provide a cellular substrate for learning and memory. In the cerebellar cortex, raising the frequency and the strength of parallel fibre (PF) stimulation leads to a long-term depression (LTD) of the strength of signalling at the synapse between PFs and Purkinje cells (PCs), which spreads to distant synapses to the same cell via a nitric oxide (NO) dependent mechanism. At the same synapse, but under conditions of reduced post-synaptic calcium activity, raised frequency stimulation (RFS) of PFs triggers a long-term potentiation of synaptic transmission. The aims of the work described in this thesis were to investigate the conditions necessary for LTD and LTP at this synapse following RFS and to identify the origins and second messenger cascades involved in the induction and spread of LTP and LTD. In thin, parasagittal cerebellar slices whole cell patch clamp recordings were made from PCs and the effects of RFS of one of two, independent PF inputs to the same PC were examined under a range of experimental conditions. Under conditions designed to reduce post-synaptic calcium activity, RFS to a single PF input led to LTP and a decreases in paired pulse facilitation (PPF) in both pathways. This heterosynaptic potentiation was prevented by inhibition of protein kinase A (PKA) or by inhibition of NO synthase with either 7-nitroindazole (7-NI) or NG Nitro-L-argenine methyl ester. Inhibition of guanylate cyclase (GC) or protein kinase G (PKG) had no effect. A similar potentiation was observed upon application of the adenylyl cyclase (AC) activator forskolin or the NO donor spermine NONOate. Both of these treatments also resulted in an increase in the frequency of mEPSCs, which provides further evidence for a presynaptic origin of LTP. Forskolin induced potentiation and the increase in mEPSC frequency were blocked by 7-NI. The styryl dye FM1-43, a fluorescent reporter of endo- and exocytosis, was also used to further examine the possible pre-synaptic origins of LTP. RFS or forskolin application enhanced FM1-43 de-staining and NOS inhibitors blocked this effect. Application of NONOate also enhanced FM1-43 de-staining. When post-synaptic calcium activity was less strictly buffered, RFS to a single PF input led to a transient potentiation that was succeeded by LTD in both pathways. This LTD, which resembled previously described forms, was prevented by inhibition of the NO/cGMP/PKG cascade. Modification of the AC/cAMP/PKA cascade had no effect. In summary, the direction of synaptic plasticity at the PF-PC synapse in response to RFS depends largely on the level of post-synaptic calcium activity. LTP and LTD were non-input specific and both forms of plasticity were dependent on NOS activity. Induction of LTP was mediated by a presynaptic mechanism and depended on NO and cAMP production. LTD on the other hand was a post-synaptic process and required activity of the NO/cGMP/PKG signalling cascade.

Predictive gene lists for breast cancer prognosis: a topographic visualisation study

Background: The controversy surrounding the non-uniqueness of predictive gene lists (PGL) of small selected subsets of genes from very large potential candidates as available in DNA microarray experiments is now widely acknowledged 1. Many of these studies have focused on constructing discriminative semi-parametric models and as such are also subject to the issue of random correlations of sparse model selection in high dimensional spaces. In this work we outline a different approach based around an unsupervised patient-specific nonlinear topographic projection in predictive gene lists. Methods: We construct nonlinear topographic projection maps based on inter-patient gene-list relative dissimilarities. The Neuroscale, the Stochastic Neighbor Embedding(SNE) and the Locally Linear Embedding(LLE) techniques have been used to construct two-dimensional projective visualisation plots of 70 dimensional PGLs per patient, classifiers are also constructed to identify the prognosis indicator of each patient using the resulting projections from those visualisation techniques and investigate whether a-posteriori two prognosis groups are separable on the evidence of the gene lists. A literature-proposed predictive gene list for breast cancer is benchmarked against a separate gene list using the above methods. Generalisation ability is investigated by using the mapping capability of Neuroscale to visualise the follow-up study, but based on the projections derived from the original dataset. Results: The results indicate that small subsets of patient-specific PGLs have insufficient prognostic dissimilarity to permit a distinction between two prognosis patients. Uncertainty and diversity across multiple gene expressions prevents unambiguous or even confident patient grouping. Comparative projections across different PGLs provide similar results. Conclusion: The random correlation effect to an arbitrary outcome induced by small subset selection from very high dimensional interrelated gene expression profiles leads to an outcome with associated uncertainty. This continuum and uncertainty precludes any attempts at constructing discriminative classifiers. However a patient's gene expression profile could possibly be used in treatment planning, based on knowledge of other patients' responses. We conclude that many of the patients involved in such medical studies are intrinsically unclassifiable on the basis of provided PGL evidence. This additional category of 'unclassifiable' should be accommodated within medical decision support systems if serious errors and unnecessary adjuvant therapy are to be avoided.

Feminismo nacionalista nunha nación patriarcal:análise da proposta e recepción crítica da obra de Queizán

Que implica o feminismo nacionalista en Galiza? Trátase dunha posición feminista que xorde desde dentro do nacionalismo? (E de ser así, de que tipo de nacionalismo?). Ou trátase máis ben dun proxecto nacionalista inserido dentro da corrente feminista? (E neste caso, de que tipo de feminismo?). O principal propósito deste artigo é abordar estes interrogantes, explorando como interactúan as identidades de xénero e as identidades nacionais no pensamento e obra de Queizán. Para iso, en primeiro lugar cómpre contextualizar o espazo que lle reserva o discurso nacional(ista) dominante a outros parámetros definitorios alén da nación, e en particular ao parámetro xénero. Tras analizar posteriormente a proposta de Queizán, a terceira sección propón someter a exame a recepción que esta proposta feminista tivo por parte da crítica política, intelectual e literaria nacionalista. Esta achega é clave para comprender a evolución das formulacións da autora, así como a súa posición actual no panorama político e cultural galego do presente.

Probabilistic topographic information visualisation

The focus of this thesis is the extension of topographic visualisation mappings to allow for the incorporation of uncertainty. Few visualisation algorithms in the literature are capable of mapping uncertain data with fewer able to represent observation uncertainties in visualisations. As such, modifications are made to NeuroScale, Locally Linear Embedding, Isomap and Laplacian Eigenmaps to incorporate uncertainty in the observation and visualisation spaces. The proposed mappings are then called Normally-distributed NeuroScale (N-NS), T-distributed NeuroScale (T-NS), Probabilistic LLE (PLLE), Probabilistic Isomap (PIso) and Probabilistic Weighted Neighbourhood Mapping (PWNM). These algorithms generate a probabilistic visualisation space with each latent visualised point transformed to a multivariate Gaussian or T-distribution, using a feed-forward RBF network. Two types of uncertainty are then characterised dependent on the data and mapping procedure. Data dependent uncertainty is the inherent observation uncertainty. Whereas, mapping uncertainty is defined by the Fisher Information of a visualised distribution. This indicates how well the data has been interpolated, offering a level of ‘surprise’ for each observation. These new probabilistic mappings are tested on three datasets of vectorial observations and three datasets of real world time series observations for anomaly detection. In order to visualise the time series data, a method for analysing observed signals and noise distributions, Residual Modelling, is introduced. The performance of the new algorithms on the tested datasets is compared qualitatively with the latent space generated by the Gaussian Process Latent Variable Model (GPLVM). A quantitative comparison using existing evaluation measures from the literature allows performance of each mapping function to be compared. Finally, the mapping uncertainty measure is combined with NeuroScale to build a deep learning classifier, the Cascading RBF. This new structure is tested on the MNist dataset achieving world record performance whilst avoiding the flaws seen in other Deep Learning Machines.