"... In PAGE 4: ...005; Yu et al., 2004; 2006; Wang et al., 2005). Table1 lists the number of proteins in different localization sites in the data sets, which are detailed in Table 1S of the Supplementary Data. ... In PAGE 4: ... This suggests that a three-way data split procedure could avoid overestimation of the predictive performance; therefore, it should be considered in PSL prediction. Table1 . Number of proteins distributed in different localization sites in the data sets.... ..."

"... In PAGE 23: ... quot; And the Director of CRM at the bank indicated a need to quot;segment our customers in order to provide them with differentiated service, in an effort to generate revenue and control cost. quot; Table4 provides evidence that forward-looking service organizations are beginning to conceptualize supplementary services based on the specific characteristics of their products and the needs of their customers. When asked to describe the most exciting future ... In PAGE 24: ... Executives at the insurance company made reference to similar consultation and advice functionality, but had yet to settle on a specific design. Similar pressure to deliver these functionalities, in this case from customers, was beginning to mount 8 Note that a value of zero in Table4 does not mean the feature is not available on the company Web site, but ... ..."

"... In PAGE 35: ...1.5 A comprehensive system Over the years, MATSEC developed into a comprehensive system of examinations as evident in Table1 below. All said, the table presents a remarkable achievement by our local educational system.... In PAGE 36: ... Table1 : Subjects available by level (SEC, Intermediate, Advanced) Subject SEC Int. Adv.... In PAGE 65: ....2.1.6 An analysis of the numbers and percentages of students who actually benefit from a re-sit in September at SEC and MC level provide quantitative evidence on the impact of the supplementary session. Table1 presents the averages of the data for four years (2001-2004) to the nearest integer for the re-sits offered at SEC level. The first column shows the subject and the second column shows the number of eligible candidates, that is, candidates who had obtained a result lower than Grade 5 or were absent from the examination in May.... In PAGE 65: ...Data in Table1 indicate that only about half or less of eligible candidates take a re-sit in September and then only between 11.0 and 13.... ..."

"... In PAGE 2: ... When combining multiple biological data sources, learning the contributions of different attribute combinations can greatly help us to gain insight of the underlying biological relationships, and therefore proba- bilistic decision trees represent an appropriate approach for this task. Here we focused on the prediction of co-complexed pro- tein (CCP) pairs in Saccharomyces cerevisiae and employed a probabilistic decision tree approach to integrate many gene- and protein-pair characteristics (see Table1 and 2 for a summary and Additional file 1 for a complete list). A CCP pair is defined as a pair of proteins that belong to the same protein complex.... In PAGE 2: ... Furthermore, top-scoring protein pairs not listed in MIPS as being co- complexed were validated by another database, YPD (Yeast Proteome Database) [26], at a significantly higher rate than expected by chance. Table1 : Categories of gene- and protein-pair attributes used Attribute ID Description Number of Attributes References I. High-throughput screens (HTS) of interactions 11 [2, 3, 6, 7] X.... In PAGE 3: ... We chose this literature- derived reference set as our quot;gold standard quot; because of its high reliability, but we note that this reference set is still imperfect since it reflects investigational bias that may lead us to predict fewer CCPs between uncharacterized proteins. Probabilistic decision tree To model the conditional probability that a protein pair is co-complexed given its other known attributes, we con- structed a probabilistic decision tree using all protein pairs in Saccharomyces cerevisiae and all attributes listed in Table1 . The decision tree successively partitioned protein pairs according to the values (0 or 1) of their particular attributes.... In PAGE 3: ... The structure of the tree was learned automati- cally, and the attribute used to define each successive par- tition was the attribute providing the greatest reduction of entropy with respect to the CCP attribute (see Methods section). Figure 1 shows the decision tree constructed using all attributes described in Table1 . Some of the rules specified in the decision tree capture biological knowl- edge about co-complexed proteins.... In PAGE 3: ...FHL1) quot; came out to be the variable most inform- ative of co-complexed relationships. Among attributes listed in Table1 , those that individually provide the greatest reduction in entropy at the root node are shown in Table 3. To compare this reduction with the entropy of the node before it is partitioned, we also describe relative reduction in entropy (defined as the con- ditional information gain divided by the entropy of the root node) for the top attributes.... In PAGE 7: ... Assessment based on the Yeast Proteome Database (YPD) Having demonstrated the success of our approach using cross-validation, we went further to see if we could predict CCPs not in the MIPS reference set. Among protein pairs not known to be CCP in the reference set, the top-scoring ones (predicted using all attributes in Table1 ) were fur- ther examined. Since our reference set may not contain all known CCPs, especially the recently identified ones, some of these quot;false positives quot; might have already been tested and shown to be true CCPs.... In PAGE 7: ... We excluded YPD complexes for which interaction evidence comes solely from the high-throughput experiments used in our decision tree. Out of the top 50 quot;false positives, quot; 15 are annotated in YPD as members of the same complex and are therefore true CCPs (Table 5, also see Table1 S in Addi- tional file 2 for a longer list). This cannot be solely accounted for by the additional CCP annotations in YPD, because if the 50 protein pairs are randomly chosen among non-CCP pairs according to MIPS, the probability P_8 Nucleic acid metabolism defects P_8.... In PAGE 10: ... Such a bias, if combined with attribute data with the same bias, may artificially inflate the performance in cross-validation. Since all attributes in Table1 are from high-throughput or genome-wide studies, they contain little bias against unknown proteins. Therefore we expect our results using only these attributes (Figure 2 and 3, solid black lines, and Table 5) to accurately reflect the real method perform- ance.... In PAGE 13: ... Methods Collecting datasets We collected 12 major categories of gene- and protein-pair characteristics for all protein pairs in Saccharomyces cerevi- siae. A summary with references to the data sources is shown in Table1 and 2. Each evidence type was mapped to one or more binary variables ( quot;attributes quot;).... ..."

"... In PAGE 2: ... 2.1 Collection of gene sets representing major stem cell populations Our collection of gene sets representing various stem cell populations was gathered from gene sets selected previously by three research groups based on a significant fold change from expression profiles of major murine stem cell populations ( Table1 ; Ramalho-Santos, 2002; Ivanova, 2002; Venezia, 2004). Details for each selected gene set are addressed in the supplementary data of the three references.... ..."

"... In PAGE 23: ... This points to mutual penetration of two 539 adjacent partially crystallized magmas that already contained phenocrysts. 540 Variation of rock chemistry across dyke #2 is shown in Table3 and in a set of 541 diagrams (Fig. 10).... In PAGE 51: ...ACCEPTED MANUSCRIPT 51 rock compositions used for normalization. A full set of data is given in Table3 S of 1199 the supplementary data. 1200 Fig.... In PAGE 51: ... Zones within the dyke: TD = 1202 trachydolerite; mixing zone: TA = hybrid trachyandesite, Tdc = hybrid trachydacite; 1203 QP = quartz porphyry. Sample numbers are the same as in Table3 . Major elements, 1204 wt.... In PAGE 51: ...ig. 11. Chondrite-normalized REE patterns for rocks from the Netafim composite 1206 dyke #2. The pattern numbers correspond to the sample numbers in Table3 ; in 1207 parentheses: silica content (wt. %).... In PAGE 55: ...ACCEPTED MANUSCRIPT 55 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 Table3 . Composition of rocks collected in the cross section through the Netafim composite dyke # 2 (wt.... ..."

"... In PAGE 46: ....T. [T4.932] TABLE7 -2/Q.932 FACILITY message content Message type: FACILITY Significance: local (Note 1) Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 47: ....T. [T5.932] TABLE7 -3/Q.932 HOLD message content Message type: HOLD Significance: local Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 48: ....T. [T6.932] TABLE7 -4/Q.932 HOLD ACKNOWLEDGE message content Message type: HOLD ACKNOWLEDGE Significance: local Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 49: ....T. [T7.932] TABLE7 -5/Q.932 HOLD REJECT message content Message type: HOLD REJECT Significance: local Direction: both ulululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ulululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 50: ....T. [T8.932] TABLE7 -6/Q.932 REGISTER message content Message type: REGISTER Significance: local (Note 1) Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 51: ....T. [T9.932] TABLE7 -7/Q.932 RETRIEVE message content Message type: RETRIEVE Significance: local Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 52: ....T. [T10.932] TABLE7 -8/Q.932 RETRIEVE ACKNOWLEDGE message content Message type: RETRIEVE ACKNOWLEDGE Significance: local Direction: both ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... In PAGE 53: ....T. [T11.932] TABLE7 -9/Q.932 RETRIEVE REJECT message content Message type: RETRIEVE REJECT Significance: local Direction: both ulululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Information element Reference Direction Type Length ulululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululululul Protocol discriminator 4.... ..."