ISBN-13: 9783639152203 / Angielski / Miękka / 2009 / 216 str.
This book describes novel computational techniquesthat are used in predicting gene interactions usingtwo main online resources: biomedical literature andsequence data. The co-occurrence method of textmining was extensively explored in this book. Theeffects of certain parameters on influencing therelevancy of documents in which two genes co-occurwere critically examined. The results showed thatindeed some parameters, if taken into consideration,can lead to better identification of documents thatdescribe gene interactions. A system was developed aspart of the work and can be obtained by contactingthe author: mustafa.dameh@gmail.com. The book alsodescribes a novel approach that used an analysis ofSAGE and EST sequence libraries using ecologicalestimation methods. The approach proves that speciesaccumulation theory used in ecology can be applied totag libraries to predict an upper bound to the numberof mRNA transcript species in a tissue. The novelcomputational analysis provided in this book can beused to extend the body of knowledge and insightsrelating to gene interactions and, hence, providebetter understanding of genes and their functionswithin gene networks.